{"id":23341,"date":"2026-09-30T09:13:58","date_gmt":"2026-09-30T09:13:58","guid":{"rendered":"https:\/\/www.sphinx-solution.com\/blog\/?p=23341"},"modified":"2026-09-30T09:14:08","modified_gmt":"2026-09-30T09:14:08","slug":"ai-agent-use-cases","status":"publish","type":"post","link":"https:\/\/www.sphinx-solution.com\/blog\/ai-agent-use-cases\/","title":{"rendered":"AI Agent Use Cases: 10 Real Enterprise Examples Across Industries"},"content":{"rendered":"<div style=\"text-align: left; background-color: #ebf5ff; padding: 20px 25px; font-size: 16px; border-radius: 16px; border: 1px solid #b6dcff; width: 100%; box-sizing: border-box;\">\n<p style=\"font-size: 16px; margin: 0 0 15px 0;\"><strong>Key Takeaways<\/strong><\/p>\n<ul class=\"key-takeaways\" style=\"margin: 0; padding-left: 20px; line-height: 1.7;\">\n<li><span class=\"TextRun SCXW131497300 BCX8\" lang=\"EN-GB\" xml:lang=\"EN-GB\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW131497300 BCX8\">AI <\/span><span class=\"NormalTextRun SCXW131497300 BCX8\">agent<\/span><span class=\"NormalTextRun SCXW131497300 BCX8\"> use cases<\/span><\/span><span class=\"TextRun SCXW131497300 BCX8\" lang=\"EN-GB\" xml:lang=\"EN-GB\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW131497300 BCX8\"> are valued when they solve <\/span><span class=\"NormalTextRun SCXW131497300 BCX8\">real business<\/span><span class=\"NormalTextRun SCXW131497300 BCX8\"> problems and handle multi-step workflows. <\/span><\/span><\/li>\n<li><span class=\"TextRun SCXW35721028 BCX8\" lang=\"EN-GB\" xml:lang=\"EN-GB\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW35721028 BCX8\">Enterprise AI agents<\/span><\/span><span class=\"TextRun SCXW35721028 BCX8\" lang=\"EN-GB\" xml:lang=\"EN-GB\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW35721028 BCX8\"> may support functions like finance, banking, healthcare, manufacturing, retail, HR, customer service, and IT. <\/span><\/span><\/li>\n<li><span class=\"TextRun SCXW199572620 BCX8\" lang=\"EN-GB\" xml:lang=\"EN-GB\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW199572620 BCX8\">The main <\/span><\/span><span class=\"TextRun SCXW199572620 BCX8\" lang=\"EN-GB\" xml:lang=\"EN-GB\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW199572620 BCX8\">benefits of AI agents<\/span><\/span><span class=\"TextRun SCXW199572620 BCX8\" lang=\"EN-GB\" xml:lang=\"EN-GB\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW199572620 BCX8\">are<\/span><span class=\"NormalTextRun SCXW199572620 BCX8\"> less manual work, fast processing, better workflow coordination, and fewer routine errors. <\/span><\/span><\/li>\n<li><span class=\"TextRun SCXW5724232 BCX8\" lang=\"EN-GB\" xml:lang=\"EN-GB\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW5724232 BCX8\">The right use case mus<\/span><span class=\"NormalTextRun SCXW5724232 BCX8\">t <\/span><span class=\"NormalTextRun SCXW5724232 BCX8\">possess<\/span><span class=\"NormalTextRun SCXW5724232 BCX8\"> a clear outcome, reliable data, suitable system access, manageable risk, and measurable results. <\/span><\/span><\/li>\n<li><span class=\"TextRun SCXW223105189 BCX8\" lang=\"EN-GB\" xml:lang=\"EN-GB\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW223105189 BCX8\">Businesses should <\/span><span class=\"NormalTextRun SCXW223105189 BCX8\">begin<\/span><span class=\"NormalTextRun SCXW223105189 BCX8\"> with a focused workflow, test it in real conditions, measure the outcome, and expand gradually. <\/span><\/span><\/li>\n<li><span class=\"TextRun SCXW87145265 BCX8\" lang=\"EN-GB\" xml:lang=\"EN-GB\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW87145265 BCX8\">Successful implementation <\/span><span class=\"NormalTextRun SCXW87145265 BCX8\">relies<\/span><span class=\"NormalTextRun SCXW87145265 BCX8\"> on <\/span><\/span><span class=\"TextRun SCXW87145265 BCX8\" lang=\"EN-GB\" xml:lang=\"EN-GB\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW87145265 BCX8\">data quality, security, integration, human oversight, and clear governance<\/span><\/span><span class=\"TextRun SCXW87145265 BCX8\" lang=\"EN-GB\" xml:lang=\"EN-GB\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW87145265 BCX8\">. <\/span><\/span><\/li>\n<li><span class=\"TextRun SCXW27444074 BCX8\" lang=\"EN-GB\" xml:lang=\"EN-GB\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW27444074 BCX8\">AI agents <\/span><span class=\"NormalTextRun SCXW27444074 BCX8\">vary<\/span><span class=\"NormalTextRun SCXW27444074 BCX8\"> from chatbots and RPA because they can work toward<\/span><span class=\"NormalTextRun SCXW27444074 BCX8\">s<\/span><span class=\"NormalTextRun SCXW27444074 BCX8\"> a defined outcome, use connected tools, and take approved actions. <\/span><\/span><\/li>\n<li><span class=\"TextRun SCXW51653365 BCX8\" lang=\"EN-GB\" xml:lang=\"EN-GB\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW51653365 BCX8\">The choice to <\/span><\/span><span class=\"TextRun SCXW51653365 BCX8\" lang=\"EN-GB\" xml:lang=\"EN-GB\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW51653365 BCX8\">build, buy, or partner<\/span><\/span><span class=\"TextRun SCXW51653365 BCX8\" lang=\"EN-GB\" xml:lang=\"EN-GB\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW51653365 BCX8\"> depends on the workflow<\/span><span class=\"NormalTextRun SCXW51653365 BCX8\"> complexity<\/span><span class=\"NormalTextRun SCXW51653365 BCX8\">, internal capabilities, and integration needs.<\/span><\/span><\/li>\n<\/ul>\n<\/div>\n<p><span data-contrast=\"auto\">For most enterprises, the AI\u00a0has become more vital than their basic needs. The ultimate question is\u00a0whether\u00a0AI\u00a0resolves their business problems or make another complex battlefield for them.\u00a0This is\u00a0a reason why\u00a0<\/span><b><span data-contrast=\"auto\">AI agent use cases<\/span><\/b><span data-contrast=\"auto\">\u00a0are increasingly arising\u00a0in technology roadmaps, operating plans, and investment discussions.<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:240,&quot;335559739&quot;:240}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">Apart from\u00a0a\u00a0regular\u00a0chatbot, an AI agent\u00a0may\u00a0work toward a\u00a0certain\u00a0objective. It can\u00a0gather or collect\u00a0information from business systems. It decides\u00a0what needs to happen next, take an approved action, and respond to changes along the way. Gartner\u00a0says that\u00a0<\/span><b><span data-contrast=\"auto\">agentic AI<\/span><\/b><span data-contrast=\"auto\">\u00a0is about to become\u00a0a\u00a0substantial\u00a0part\u00a0of enterprise software applications by 2028, up from 2024\u00a0which is\u00a0less\u00a0than 1%\u00a0at present.<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:240,&quot;335559739&quot;:240}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">The\u00a0real\u00a0bottleneck is\u00a0in moving\u00a0from a promising demo to a\u00a0trusted\u00a0production workflow.\u00a0Various\u00a0AI pilots\u00a0fail to\u00a0progress because the underlying process is\u00a0clumsy.\u00a0The risk is\u00a0much higher.\u00a0The\u00a0required\u00a0data is inaccessible, or the project is not\u00a0aligned\u00a0with\u00a0a measurable business\u00a0result.<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:240,&quot;335559739&quot;:240}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">This\u00a0blog\u00a0nicely\u00a0elaborates\u00a010 practical\u00a0<\/span><b><span data-contrast=\"auto\">AI agent examples<\/span><\/b><span data-contrast=\"auto\">\u00a0across industries.\u00a0It covers\u00a0<\/span><b><span data-contrast=\"auto\">benefits of AI agents<\/span><\/b><span data-contrast=\"auto\">\u00a0in every\u00a0area, and the\u00a0essential\u00a0factors\u00a0to consider by\u00a0businesses while\u00a0choosing, measuring, and implementing an\u00a0<\/span><b><span data-contrast=\"auto\">AI\u00a0agent<\/span><\/b><span data-contrast=\"auto\">.<br \/>\n<\/span><\/p>\n<h2 id=\"what-are-enterprise-ai-agents\"><span class=\"TextRun SCXW13469848 BCX8\" lang=\"EN-GB\" xml:lang=\"EN-GB\" data-contrast=\"none\"><span class=\"NormalTextRun SCXW13469848 BCX8\" data-ccp-parastyle=\"heading 2\"><strong>What Are Enterprise AI Agents?<\/strong>\u00a0<\/span><\/span><span class=\"EOP Selected SCXW13469848 BCX8\" data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;134245418&quot;:true,&quot;134245529&quot;:true,&quot;335559738&quot;:299,&quot;335559739&quot;:299}\">\u00a0<\/span><\/h2>\n<p><span class=\"TextRun SCXW125342309 BCX8\" lang=\"EN-GB\" xml:lang=\"EN-GB\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW125342309 BCX8\">Before looking at specific\u00a0<\/span><\/span><span class=\"TextRun SCXW125342309 BCX8\" lang=\"EN-GB\" xml:lang=\"EN-GB\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW125342309 BCX8\">AI agent use cases<\/span><\/span><span class=\"TextRun SCXW125342309 BCX8\" lang=\"EN-GB\" xml:lang=\"EN-GB\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW125342309 BCX8\">, it is worth separating an AI agent from other automation<\/span><span class=\"NormalTextRun SCXW125342309 BCX8\">\u00a0types<\/span><span class=\"NormalTextRun SCXW125342309 BCX8\">.\u00a0<\/span><\/span><span class=\"TextRun SCXW125342309 BCX8\" lang=\"EN-GB\" xml:lang=\"EN-GB\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW125342309 BCX8\">AI agents for enterprises<\/span><\/span><span class=\"TextRun SCXW125342309 BCX8\" lang=\"EN-GB\" xml:lang=\"EN-GB\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW125342309 BCX8\">\u00a0are software systems<\/span><span class=\"NormalTextRun SCXW125342309 BCX8\">.<\/span><span class=\"NormalTextRun SCXW125342309 BCX8\">\u00a0<\/span><span class=\"NormalTextRun SCXW125342309 BCX8\">T<\/span><span class=\"NormalTextRun SCXW125342309 BCX8\">h<\/span><span class=\"NormalTextRun SCXW125342309 BCX8\">ey<\/span><span class=\"NormalTextRun SCXW125342309 BCX8\">\u00a0ca<\/span><span class=\"NormalTextRun SCXW125342309 BCX8\">n work toward a\u00a0<\/span><span class=\"NormalTextRun SCXW125342309 BCX8\">fixed<\/span><span class=\"NormalTextRun SCXW125342309 BCX8\">\u00a0goal by reasoning over available information,\u00a0<\/span><span class=\"NormalTextRun SCXW125342309 BCX8\">with the use of<\/span><span class=\"NormalTextRun SCXW125342309 BCX8\">\u00a0connected tools, and taking actions within permitted boundaries.<\/span><\/span><\/p>\n<table data-tablestyle=\"MsoTable15Grid4Accent1\" data-tablelook=\"1696\" aria-rowcount=\"5\" aria-colcount=\"4\">\n<tbody>\n<tr aria-rowindex=\"1\">\n<td data-celllook=\"4369\"><b><span data-contrast=\"none\">Capability<\/span><\/b><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335551550&quot;:2,&quot;335551620&quot;:2,&quot;335559738&quot;:0,&quot;335559739&quot;:0}\">\u00a0<\/span><\/td>\n<td data-celllook=\"4369\"><b><span data-contrast=\"none\">Chatbots<\/span><\/b><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335551550&quot;:2,&quot;335551620&quot;:2,&quot;335559738&quot;:0,&quot;335559739&quot;:0}\">\u00a0<\/span><\/td>\n<td data-celllook=\"4369\"><b><span data-contrast=\"none\">RPA<\/span><\/b><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335551550&quot;:2,&quot;335551620&quot;:2,&quot;335559738&quot;:0,&quot;335559739&quot;:0}\">\u00a0<\/span><\/td>\n<td data-celllook=\"4369\"><b><span data-contrast=\"none\">AI Agents<\/span><\/b><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335551550&quot;:2,&quot;335551620&quot;:2,&quot;335559738&quot;:0,&quot;335559739&quot;:0}\">\u00a0<\/span><\/td>\n<\/tr>\n<tr aria-rowindex=\"2\">\n<td data-celllook=\"0\"><b><span data-contrast=\"auto\">Understands unstructured input<\/span><\/b><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:0,&quot;335559739&quot;:0}\">\u00a0<\/span><\/td>\n<td data-celllook=\"0\"><span data-contrast=\"auto\">Limited<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:0,&quot;335559739&quot;:0}\">\u00a0<\/span><\/td>\n<td data-celllook=\"0\"><span data-contrast=\"auto\">No<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:0,&quot;335559739&quot;:0}\">\u00a0<\/span><\/td>\n<td data-celllook=\"0\"><span data-contrast=\"auto\">Yes<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:0,&quot;335559739&quot;:0}\">\u00a0<\/span><\/td>\n<\/tr>\n<tr aria-rowindex=\"3\">\n<td data-celllook=\"0\"><b><span data-contrast=\"auto\">Makes context-based decisions<\/span><\/b><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:0,&quot;335559739&quot;:0}\">\u00a0<\/span><\/td>\n<td data-celllook=\"0\"><span data-contrast=\"auto\">No<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:0,&quot;335559739&quot;:0}\">\u00a0<\/span><\/td>\n<td data-celllook=\"0\"><span data-contrast=\"auto\">No<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:0,&quot;335559739&quot;:0}\">\u00a0<\/span><\/td>\n<td data-celllook=\"0\"><span data-contrast=\"auto\">Yes<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:0,&quot;335559739&quot;:0}\">\u00a0<\/span><\/td>\n<\/tr>\n<tr aria-rowindex=\"4\">\n<td data-celllook=\"0\"><b><span data-contrast=\"auto\">Acts across multiple systems<\/span><\/b><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:0,&quot;335559739&quot;:0}\">\u00a0<\/span><\/td>\n<td data-celllook=\"0\"><span data-contrast=\"auto\">Rarely<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:0,&quot;335559739&quot;:0}\">\u00a0<\/span><\/td>\n<td data-celllook=\"0\"><span data-contrast=\"auto\">Yes, rule-based<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:0,&quot;335559739&quot;:0}\">\u00a0<\/span><\/td>\n<td data-celllook=\"0\"><span data-contrast=\"auto\">Yes, goal-based<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:0,&quot;335559739&quot;:0}\">\u00a0<\/span><\/td>\n<\/tr>\n<tr aria-rowindex=\"5\">\n<td data-celllook=\"0\"><b><span data-contrast=\"auto\">Adapts when processes change<\/span><\/b><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:0,&quot;335559739&quot;:0}\">\u00a0<\/span><\/td>\n<td data-celllook=\"0\"><span data-contrast=\"auto\">No<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:0,&quot;335559739&quot;:0}\">\u00a0<\/span><\/td>\n<td data-celllook=\"0\"><span data-contrast=\"auto\">No<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:0,&quot;335559739&quot;:0}\">\u00a0<\/span><\/td>\n<td data-celllook=\"0\"><span data-contrast=\"auto\">Yes<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:0,&quot;335559739&quot;:0}\">\u00a0<\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p><span data-contrast=\"auto\">A simple distinction is\u00a0helpful: a chatbot\u00a0mainly\u00a0gives\u00a0an answer, an RPA bot\u00a0processes\u00a0predefined instructions, while an AI agent is\u00a0made\u00a0to work toward an outcome.<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:240,&quot;335559739&quot;:240}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">That flexibility alone does not make an agent\u00a0perfect\u00a0for enterprise deployment. The system\u00a0requires\u00a0controlled access to business applications,\u00a0correct\u00a0permissions, audit logs, human review for sensitive decisions, and controls for regulatory and security requirements.\u00a0Relying\u00a0on the industry and use case, those requirements may\u00a0be having\u00a0GDPR, HIPAA, SOC 2, or other applicable standards.<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:240,&quot;335559739&quot;:240}\">\u00a0<\/span><\/p>\n<h2 id=\"top-10-enterprise-ai-agent-use-cases-by-industry-and-function\"><strong><span class=\"TextRun SCXW52988534 BCX8\" lang=\"EN-GB\" xml:lang=\"EN-GB\" data-contrast=\"none\"><span class=\"NormalTextRun SCXW52988534 BCX8\" data-ccp-parastyle=\"heading 2\">Top 10 Enterprise AI Agent Use Cases by Industry and Function<\/span><\/span><span class=\"EOP Selected SCXW52988534 BCX8\" data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;134245418&quot;:true,&quot;134245529&quot;:true,&quot;335559738&quot;:299,&quot;335559739&quot;:299}\">\u00a0<\/span><\/strong><\/h2>\n<p><img decoding=\"async\" class=\"alignnone wp-image-23344 size-full\" src=\"https:\/\/www.sphinx-solution.com\/blog\/wp-content\/uploads\/2026\/09\/Top-10-Enterprise-AI-Agent-Use-Cases-by-Industry-and-Function_.webp\" alt=\"Top 10 Enterprise AI Agent Use Cases by Industry and Function\" width=\"700\" height=\"379\" srcset=\"https:\/\/www.sphinx-solution.com\/blog\/wp-content\/uploads\/2026\/09\/Top-10-Enterprise-AI-Agent-Use-Cases-by-Industry-and-Function_.webp 700w, https:\/\/www.sphinx-solution.com\/blog\/wp-content\/uploads\/2026\/09\/Top-10-Enterprise-AI-Agent-Use-Cases-by-Industry-and-Function_-300x162.webp 300w, https:\/\/www.sphinx-solution.com\/blog\/wp-content\/uploads\/2026\/09\/Top-10-Enterprise-AI-Agent-Use-Cases-by-Industry-and-Function_-390x211.webp 390w\" sizes=\"(max-width: 700px) 100vw, 700px\" \/><\/p>\n<p><span class=\"TextRun SCXW229915438 BCX8\" lang=\"EN-GB\" xml:lang=\"EN-GB\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW229915438 BCX8\">The\u00a0<\/span><\/span><span class=\"TextRun SCXW229915438 BCX8\" lang=\"EN-GB\" xml:lang=\"EN-GB\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW229915438 BCX8\">examples of AI agents<\/span><\/span><span class=\"TextRun SCXW229915438 BCX8\" lang=\"EN-GB\" xml:lang=\"EN-GB\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW229915438 BCX8\">\u00a0<\/span><span class=\"NormalTextRun SCXW229915438 BCX8\">explained below focus\u00a0<\/span><span class=\"NormalTextRun SCXW229915438 BCX8\">on business functions where multi<\/span><span class=\"NormalTextRun SCXW229915438 BCX8\">ple<\/span><span class=\"NormalTextRun SCXW229915438 BCX8\">-step work, system integration, and decision-making\u00a0<\/span><span class=\"NormalTextRun SCXW229915438 BCX8\">make<\/span><span class=\"NormalTextRun SCXW229915438 BCX8\">\u00a0a practical opportunity for automation. Each\u00a0<\/span><\/span><span class=\"TextRun SCXW229915438 BCX8\" lang=\"EN-GB\" xml:lang=\"EN-GB\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW229915438 BCX8\">AI agent application<\/span><\/span><span class=\"TextRun SCXW229915438 BCX8\" lang=\"EN-GB\" xml:lang=\"EN-GB\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW229915438 BCX8\">\u00a0<\/span><span class=\"NormalTextRun SCXW229915438 BCX8\">brief<\/span><span class=\"NormalTextRun SCXW229915438 BCX8\">s<\/span><span class=\"NormalTextRun SCXW229915438 BCX8\">\u00a0about<\/span><span class=\"NormalTextRun SCXW229915438 BCX8\">\u00a0the type of work involved, how an agent can handle it, and the\u00a0<\/span><span class=\"NormalTextRun SCXW229915438 BCX8\">resulting<\/span><span class=\"NormalTextRun SCXW229915438 BCX8\">\u00a0business value.<\/span><\/span><span class=\"EOP Selected SCXW229915438 BCX8\" data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:240,&quot;335559739&quot;:240}\">\u00a0<\/span><\/p>\n<h3 id=\"1-ai-agents-for-finance-and-accounting\"><strong><span class=\"TextRun SCXW114445874 BCX8\" lang=\"EN-GB\" xml:lang=\"EN-GB\" data-contrast=\"none\"><span class=\"NormalTextRun SCXW114445874 BCX8\" data-ccp-parastyle=\"heading 3\">1. AI Agents for Finance and Accounting<\/span><\/span><span class=\"EOP Selected SCXW114445874 BCX8\" data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;134245418&quot;:true,&quot;134245529&quot;:true,&quot;335559738&quot;:281,&quot;335559739&quot;:281}\">\u00a0<\/span><\/strong><\/h3>\n<p><span data-contrast=\"auto\">Finance teams process\u00a0big-\u00a0volume transactions, but many workflows still\u00a0need\u00a0people to move information from system to system, check\u00a0for\u00a0exceptions, and follow up with interested parties. Finance is a fertile ground for AI agents, with repetitive work and clearly defined decision points.\u00a0<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:240,&quot;335559739&quot;:240}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">For example, an accounts payable agent can match an invoice to the associated purchase order and goods receipt. If the values are within approved tolerances, it can push the invoice forward.<\/span><span data-contrast=\"auto\">\u00a0If something does not match, the agent can\u00a0identify\u00a0it,\u00a0collect\u00a0supporting information, and route it to the\u00a0suitable\u00a0pers<\/span><span data-contrast=\"auto\">on.<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:240,&quot;335559739&quot;:240}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">This\u00a0lowers\u00a0manual check and gives finance teams more time for activities\u00a0needing for\u00a0judgement,\u00a0like\u00a0cash-flow planning, supplier management, and financial analysis.\u00a0<\/span><span data-contrast=\"auto\">It can improve the consistency of the month-end process and\u00a0offer\u00a0a clear audit trail.<\/span><\/p>\n<h3 id=\"2-ai-agents-for-banking-and-financial-services\"><strong><span class=\"TextRun SCXW207896522 BCX8\" lang=\"EN-GB\" xml:lang=\"EN-GB\" data-contrast=\"none\"><span class=\"NormalTextRun SCXW207896522 BCX8\" data-ccp-parastyle=\"heading 3\">2. AI Agents for Banking and Financial Services<\/span><\/span><span class=\"EOP Selected SCXW207896522 BCX8\" data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;134245418&quot;:true,&quot;134245529&quot;:true,&quot;335559738&quot;:281,&quot;335559739&quot;:281}\">\u00a0<\/span><\/strong><\/h3>\n<p><span data-contrast=\"auto\">Banking workflows are usually very controlled and often have multiple data sources. AI agents can help employees speed up investigations while keeping critical decisions within existing approval processes.\u00a0<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">Typical applications include:\u00a0<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<ul>\n<li aria-setsize=\"-1\" data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"36\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;\uf0b7&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" data-aria-posinset=\"1\" data-aria-level=\"1\"><span data-contrast=\"auto\">Investigating suspicious transactions with data from multiple systems\u00a0<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/li>\n<\/ul>\n<ul>\n<li aria-setsize=\"-1\" data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"36\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;\uf0b7&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" data-aria-posinset=\"2\" data-aria-level=\"1\"><span data-contrast=\"auto\">Perform KYC and AML checks (including screening against watchlists)\u00a0<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/li>\n<\/ul>\n<ul>\n<li aria-setsize=\"-1\" data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"36\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;\uf0b7&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" data-aria-posinset=\"3\" data-aria-level=\"1\"><span data-contrast=\"auto\">Loan and credit file preparation for human underwriters\u00a0<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/li>\n<\/ul>\n<p><span data-contrast=\"auto\">Consider a fraud investigation. When a transaction triggers an alert, the agent can retrieve the relevant account history, recent activity, device information, and other approved signals. Then it can summarise the case for an analyst.\u00a0<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">Now the analyst does not have to collect information to start the investigation, but he gets a structured view of the case and can focus on the decision. This reduces investigation time while still\u00a0maintaining\u00a0the required compliance workflow.<\/span><\/p>\n<h3 id=\"3-ai-agents-for-healthcare\"><strong><span class=\"TextRun SCXW99638196 BCX8\" lang=\"EN-GB\" xml:lang=\"EN-GB\" data-contrast=\"none\"><span class=\"NormalTextRun SCXW99638196 BCX8\" data-ccp-parastyle=\"heading 3\">3.\u00a0<\/span><span class=\"NormalTextRun SCXW99638196 BCX8\" data-ccp-parastyle=\"heading 3\">AI Agents for Healthcare<\/span><\/span><\/strong><\/h3>\n<p><span data-contrast=\"auto\">Healthcare is full of paperwork, rules, different systems, and constant follow-ups\u2014all part of the daily grind. AI agents can handle parts of these workflows\u2014but clinical decisions will always stay with trained professionals.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">Common uses include preparing and sending prior authorization requests, as well as writing clinical notes for physician review.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">Check for coding or documentation errors before submitting claims.<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">For example, a prior authorization agent could review a treatment order, check the payer\u2019s rules, grab relevant EHR records, and put together the submission. When something\u2019s missing, it\u2019s smarter to spot the gap than to decide without enough info.<\/span><\/p>\n<h3 id=\"4-ai-agents-for-manufacturing\"><strong><span class=\"TextRun SCXW212711724 BCX8\" lang=\"EN-GB\" xml:lang=\"EN-GB\" data-contrast=\"none\"><span class=\"NormalTextRun SCXW212711724 BCX8\" data-ccp-parastyle=\"heading 3\">4. AI Agents for Manufacturing<\/span><\/span><span class=\"EOP Selected SCXW212711724 BCX8\" data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;134245418&quot;:true,&quot;134245529&quot;:true,&quot;335559738&quot;:281,&quot;335559739&quot;:281}\">\u00a0<\/span><\/strong><\/h3>\n<p><span data-contrast=\"auto\">Manufacturing operations\u00a0create large amount or volume of information. They are\u00a0production schedules,\u00a0maintenance systems,\u00a0equipment\u00a0sensors\u00a0and quality systems.\u00a0The\u00a0actual\u00a0challenge is\u00a0transforming\u00a0those signals into\u00a0timely\u00a0operational decisions.<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:240,&quot;335559739&quot;:240}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">AI agents can support activities such as:<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:240,&quot;335559739&quot;:240}\">\u00a0<\/span><\/p>\n<ul>\n<li aria-setsize=\"-1\" data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"27\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;\uf0b7&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" data-aria-posinset=\"1\" data-aria-level=\"1\"><span data-contrast=\"auto\">Analysing IoT sensor data to\u00a0identify\u00a0signs of equipment failure<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:240,&quot;335559739&quot;:240}\">\u00a0<\/span><\/li>\n<\/ul>\n<ul>\n<li aria-setsize=\"-1\" data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"27\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;\uf0b7&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" data-aria-posinset=\"2\" data-aria-level=\"1\"><span data-contrast=\"auto\">Creating maintenance work orders and checking spare-part availability<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:240,&quot;335559739&quot;:240}\">\u00a0<\/span><\/li>\n<\/ul>\n<ul>\n<li aria-setsize=\"-1\" data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"27\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;\uf0b7&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" data-aria-posinset=\"3\" data-aria-level=\"1\"><span data-contrast=\"auto\">Aligning\u00a0production plans\u00a0with varying\u00a0equipment or supply conditions\u00a0<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:240,&quot;335559739&quot;:240}\">\u00a0<\/span><\/li>\n<\/ul>\n<p><span data-contrast=\"auto\">For example, an agent\u00a0may\u00a0detect an unusual vibration pattern in a motor,\u00a0review\u00a0it with maintenance history, check\u00a0if\u00a0a replacement\u00a0component\u00a0is available, and\u00a0instruct for\u00a0a maintenance window that\u00a0will\u00a0minimise disruption.<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:240,&quot;335559739&quot;:240}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">This connects\u00a0many\u00a0steps that might otherwise be handled separately by maintenance, procurement, and production teams. The\u00a0results in\u00a0fewer unexpected stoppages, best\u00a0maintenance planning, and more efficient\u00a0equipment\u00a0usage.<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:240,&quot;335559739&quot;:240}\">\u00a0<\/span><\/p>\n<h3 id=\"5-ai-agents-for-retail-and-e-commerce\"><strong><span class=\"TextRun SCXW112028864 BCX8\" lang=\"EN-GB\" xml:lang=\"EN-GB\" data-contrast=\"none\"><span class=\"NormalTextRun SCXW112028864 BCX8\" data-ccp-parastyle=\"heading 3\">5. AI Agents for Retail and E-Commerce<\/span><\/span><span class=\"EOP Selected SCXW112028864 BCX8\" data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;134245418&quot;:true,&quot;134245529&quot;:true,&quot;335559738&quot;:281,&quot;335559739&quot;:281}\">\u00a0<\/span><\/strong><\/h3>\n<p><span data-contrast=\"auto\">In retail and e-commerce\u00a0industry\u00a0segment,\u00a0<\/span><b><span data-contrast=\"auto\">AI agents<\/span><\/b><span data-contrast=\"auto\">\u00a0can take care of tasks that sit between the customer and the back-end operation, from finding products to checking stock and handling orders.<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:240,&quot;335559739&quot;:240}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">Possible applications\u00a0are:<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:240,&quot;335559739&quot;:240}\">\u00a0<\/span><\/p>\n<ul>\n<li aria-setsize=\"-1\" data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"39\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;\uf0b7&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" data-aria-posinset=\"1\" data-aria-level=\"1\"><span data-contrast=\"auto\">Helping shoppers find and compare products<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:240,&quot;335559739&quot;:240}\">\u00a0<\/span><\/li>\n<\/ul>\n<ul>\n<li aria-setsize=\"-1\" data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"39\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;\uf0b7&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" data-aria-posinset=\"2\" data-aria-level=\"1\"><span data-contrast=\"auto\">Adjusting prices based on demand and inventory<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:240,&quot;335559739&quot;:240}\">\u00a0<\/span><\/li>\n<\/ul>\n<ul>\n<li aria-setsize=\"-1\" data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"39\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;\uf0b7&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" data-aria-posinset=\"3\" data-aria-level=\"1\"><span data-contrast=\"auto\">Tracking stock and raising replenishment requests<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:240,&quot;335559739&quot;:240}\">\u00a0<\/span><\/li>\n<\/ul>\n<ul>\n<li aria-setsize=\"-1\" data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"39\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;\uf0b7&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" data-aria-posinset=\"4\" data-aria-level=\"1\"><span data-contrast=\"auto\">Handling routine order and return queries<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:240,&quot;335559739&quot;:240}\">\u00a0<\/span><\/li>\n<\/ul>\n<p><span data-contrast=\"auto\">For example, an agent\u00a0may\u00a0help a shopper\u00a0find out\u00a0a product fitting for their needs and budget.\u00a0AI agent is useful in monitoring\u00a0stock and flags when it needs to be\u00a0updated. Linking these tasks\u00a0will\u00a0<\/span><b><span data-contrast=\"auto\">reduce manual work<\/span><\/b><span data-contrast=\"auto\">,\u00a0regulate\u00a0customer responses, and help retailers\u00a0to skip\u00a0<\/span><b><span data-contrast=\"auto\">lost sales from stock shortages<\/span><\/b><span data-contrast=\"auto\">.<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:240,&quot;335559739&quot;:240}\">\u00a0<\/span><\/p>\n<h3 id=\"6-ai-agents-for-supply-chain-and-logistics\"><strong><span class=\"TextRun SCXW66163509 BCX8\" lang=\"EN-GB\" xml:lang=\"EN-GB\" data-contrast=\"none\"><span class=\"NormalTextRun SCXW66163509 BCX8\" data-ccp-parastyle=\"heading 3\">6. AI Agents for Supply Chain and Logistics<\/span><\/span><span class=\"EOP Selected SCXW66163509 BCX8\" data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;134245418&quot;:true,&quot;134245529&quot;:true,&quot;335559738&quot;:281,&quot;335559739&quot;:281}\">\u00a0<\/span><\/strong><\/h3>\n<p><span data-contrast=\"auto\">Supply chains rarely\u00a0operate\u00a0exactly as planned. Port congestion, weather events, supplier delays, transport capacity, and demand changes can quickly affect delivery schedules.<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:240,&quot;335559739&quot;:240}\">\u00a0<\/span><\/p>\n<p><b><span data-contrast=\"auto\">AI agents<\/span><\/b><span data-contrast=\"auto\">\u00a0can help teams reply\u00a0to these changes by:<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:240,&quot;335559739&quot;:240}\">\u00a0<\/span><\/p>\n<ul>\n<li aria-setsize=\"-1\" data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"29\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;\uf0b7&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" data-aria-posinset=\"1\" data-aria-level=\"1\"><span data-contrast=\"auto\">Forecasting demand using historical\u00a0&amp;\u00a0external data<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:240,&quot;335559739&quot;:240}\">\u00a0<\/span><\/li>\n<\/ul>\n<ul>\n<li aria-setsize=\"-1\" data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"29\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;\uf0b7&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" data-aria-posinset=\"2\" data-aria-level=\"1\"><span data-contrast=\"auto\">Tracking shipments and\u00a0identifying\u00a0potential delays<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:240,&quot;335559739&quot;:240}\">\u00a0<\/span><\/li>\n<\/ul>\n<ul>\n<li aria-setsize=\"-1\" data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"29\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;\uf0b7&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" data-aria-posinset=\"3\" data-aria-level=\"1\"><span data-contrast=\"auto\">Assessing\u00a0supplier risks and available alternatives<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:240,&quot;335559739&quot;:240}\">\u00a0<\/span><\/li>\n<\/ul>\n<p><span data-contrast=\"auto\">For\u00a0example, if a shipment is\u00a0needed\u00a0to miss a connection because of port congestion, an agent can\u00a0search\u00a0the affected orders, compare approved transport alternatives, estimate the impact, and\u00a0make\u00a0a rerouting recommendation.<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:240,&quot;335559739&quot;:240}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">Where the workflow allows automated action, it can rebook within predefined limits. Where approval is\u00a0required, the agent can present the available options to the\u00a0logistics\u00a0team. This helps\u00a0to save time\u00a0between\u00a0finding\u00a0a disruption and responding to it.<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:240,&quot;335559739&quot;:240}\">\u00a0<\/span><\/p>\n<h3 id=\"7-ai-agents-for-insurance\"><strong><span class=\"TextRun SCXW261917932 BCX8\" lang=\"EN-GB\" xml:lang=\"EN-GB\" data-contrast=\"none\"><span class=\"NormalTextRun SCXW261917932 BCX8\" data-ccp-parastyle=\"heading 3\">7. AI Agents for Insurance<\/span><\/span><span class=\"EOP Selected SCXW261917932 BCX8\" data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;134245418&quot;:true,&quot;134245529&quot;:true,&quot;335559738&quot;:281,&quot;335559739&quot;:281}\">\u00a0<\/span><\/strong><\/h3>\n<p><span data-contrast=\"auto\">Insurance workflows have large volumes of forms, policy documents, claims records,\u00a0photos\u00a0and supporting documentation. One of the more useful\u00a0<\/span><b><span data-contrast=\"auto\">AI agent\u00a0<\/span><\/b><span data-contrast=\"auto\">applications for insurers is claims processing.\u00a0<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">Typical uses:\u00a0<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<ul>\n<li aria-setsize=\"-1\" data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"41\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;\uf0b7&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" data-aria-posinset=\"1\" data-aria-level=\"1\"><span data-contrast=\"auto\">Photographs, policy\u00a0details\u00a0and initial notification of loss\u00a0<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/li>\n<\/ul>\n<ul>\n<li aria-setsize=\"-1\" data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"41\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;\uf0b7&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" data-aria-posinset=\"2\" data-aria-level=\"1\"><span data-contrast=\"auto\">Simple case routing and claim validation against policy conditions\u00a0<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/li>\n<\/ul>\n<ul>\n<li aria-setsize=\"-1\" data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"41\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;\uf0b7&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" data-aria-posinset=\"3\" data-aria-level=\"1\"><span data-contrast=\"auto\">Reviewing for\u00a0possible fraud\u00a0indicators and preparing underwriting summaries.\u00a0<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/li>\n<\/ul>\n<p><span data-contrast=\"auto\">For an uncomplicated motor claim an agent could gather the information provided, check coverage, examine supporting documentation,\u00a0anticipate\u00a0the next step in the\u00a0processing\u00a0and have the case ready for settlement.\u00a0<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">Simple claims can be processed with minimal\u00a0help,\u00a0and unusual or high-value claims can be escalated to an adjuster with all the information already organised.<\/span><\/p>\n<h3 id=\"8-ai-agents-for-customer-service\"><strong><span class=\"TextRun SCXW47145592 BCX8\" lang=\"EN-GB\" xml:lang=\"EN-GB\" data-contrast=\"none\"><span class=\"NormalTextRun SCXW47145592 BCX8\" data-ccp-parastyle=\"heading 3\">8. AI Agents for Customer Service<\/span><\/span><span class=\"EOP Selected SCXW47145592 BCX8\" data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;134245418&quot;:true,&quot;134245529&quot;:true,&quot;335559738&quot;:281,&quot;335559739&quot;:281}\">\u00a0<\/span><\/strong><\/h3>\n<p><span data-contrast=\"auto\">Customer service is one of the most familiar\u00a0<\/span><b><span data-contrast=\"auto\">AI\u00a0agent\u00a0use cases<\/span><\/b><span data-contrast=\"auto\">, but the more important shift is from answering questions to completing service workflows.<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:240,&quot;335559739&quot;:240}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">Agents can potentially:<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:240,&quot;335559739&quot;:240}\">\u00a0<\/span><\/p>\n<ul>\n<li aria-setsize=\"-1\" data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"31\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;\uf0b7&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" data-aria-posinset=\"1\" data-aria-level=\"1\"><span data-contrast=\"auto\">Resolve order tracking, refunds, account changes, and routine troubleshooting<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:240,&quot;335559739&quot;:240}\">\u00a0<\/span><\/li>\n<\/ul>\n<ul>\n<li aria-setsize=\"-1\" data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"31\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;\uf0b7&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" data-aria-posinset=\"2\" data-aria-level=\"1\"><span data-contrast=\"auto\">Maintain context across chat, email, voice, and messaging channels<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:240,&quot;335559739&quot;:240}\">\u00a0<\/span><\/li>\n<\/ul>\n<ul>\n<li aria-setsize=\"-1\" data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"31\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;\uf0b7&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" data-aria-posinset=\"3\" data-aria-level=\"1\"><span data-contrast=\"auto\">Escalate complex cases while providing the human agent with a case summary<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:240,&quot;335559739&quot;:240}\">\u00a0<\/span><\/li>\n<\/ul>\n<p><span data-contrast=\"auto\">Klarna&#8217;s AI assistant is a widely cited example in this area. The company reported that its assistant handled a substantial share of customer service interactions after launch.<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:240,&quot;335559739&quot;:240}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">The enterprise value is not simply the ability to answer customers at any time. An effective service agent can access the systems\u00a0required\u00a0to check an order, apply an approved action, update a case, or\u00a0initiate\u00a0an escalation. That is what turns conversational AI into an operational workflow.<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:240,&quot;335559739&quot;:240}\">\u00a0<\/span><\/p>\n<h3 id=\"9-ai-agents-for-human-resources\"><strong><span class=\"TextRun SCXW261568165 BCX8\" lang=\"EN-GB\" xml:lang=\"EN-GB\" data-contrast=\"none\"><span class=\"NormalTextRun SCXW261568165 BCX8\" data-ccp-parastyle=\"heading 3\">9. AI Agents for Human Resources<\/span><\/span><\/strong><\/h3>\n<p><span data-contrast=\"auto\">HR teams handle a wide range of repetitive requests and coordination tasks. Many of these involve documents, employee records, calendars, policies, and internal systems.<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:240,&quot;335559739&quot;:240}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">AI agents can support areas such as:<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:240,&quot;335559739&quot;:240}\">\u00a0<\/span><\/p>\n<ul>\n<li aria-setsize=\"-1\" data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"32\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;\uf0b7&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" data-aria-posinset=\"1\" data-aria-level=\"1\"><span data-contrast=\"auto\">Screening resumes against defined job requirements<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:240,&quot;335559739&quot;:240}\">\u00a0<\/span><\/li>\n<\/ul>\n<ul>\n<li aria-setsize=\"-1\" data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"32\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;\uf0b7&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" data-aria-posinset=\"2\" data-aria-level=\"1\"><span data-contrast=\"auto\">Coordinating interviews across multiple calendars<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:240,&quot;335559739&quot;:240}\">\u00a0<\/span><\/li>\n<\/ul>\n<ul>\n<li aria-setsize=\"-1\" data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"32\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;\uf0b7&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" data-aria-posinset=\"3\" data-aria-level=\"1\"><span data-contrast=\"auto\">Managing onboarding tasks and responding to employee policy questions<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:240,&quot;335559739&quot;:240}\">\u00a0<\/span><\/li>\n<\/ul>\n<p><span data-contrast=\"auto\">For example, once a candidate accepts an offer, an onboarding agent can send the required documents, track signatures, raise approved IT access requests, and schedule orientation activities.<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:240,&quot;335559739&quot;:240}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">Human involvement\u00a0remains\u00a0important for hiring decisions and sensitive employee matters. The agent&#8217;s role is to coordinate the workflow and reduce the administrative effort\u00a0required\u00a0to keep the process moving.<\/span><\/p>\n<h3 id=\"10-ai-agents-for-cybersecurity-and-it-operations\"><strong><span class=\"TextRun SCXW257942860 BCX8\" lang=\"EN-GB\" xml:lang=\"EN-GB\" data-contrast=\"none\"><span class=\"NormalTextRun SCXW257942860 BCX8\" data-ccp-parastyle=\"heading 3\">10. AI Agents for Cybersecurity and IT Operations<\/span><\/span><span class=\"EOP Selected SCXW257942860 BCX8\" data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;134245418&quot;:true,&quot;134245529&quot;:true,&quot;335559738&quot;:281,&quot;335559739&quot;:281}\">\u00a0<\/span><\/strong><\/h3>\n<p><span data-contrast=\"auto\">Security and IT teams often work under constant alert and ticket volume. The difficulty is not always finding information; it is deciding which issue needs attention first and completing routine actions quickly.<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:240,&quot;335559739&quot;:240}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">AI agents can\u00a0assist\u00a0with:<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:240,&quot;335559739&quot;:240}\">\u00a0<\/span><\/p>\n<ul>\n<li aria-setsize=\"-1\" data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"33\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;\uf0b7&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" data-aria-posinset=\"1\" data-aria-level=\"1\"><span data-contrast=\"auto\">Triaging security alerts and prioritising them by risk<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:240,&quot;335559739&quot;:240}\">\u00a0<\/span><\/li>\n<\/ul>\n<ul>\n<li aria-setsize=\"-1\" data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"33\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;\uf0b7&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" data-aria-posinset=\"2\" data-aria-level=\"1\"><span data-contrast=\"auto\">Correlating logs and other approved data during incident investigation<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:240,&quot;335559739&quot;:240}\">\u00a0<\/span><\/li>\n<\/ul>\n<ul>\n<li aria-setsize=\"-1\" data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"33\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;\uf0b7&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" data-aria-posinset=\"3\" data-aria-level=\"1\"><span data-contrast=\"auto\">Resolving routine IT requests such as password resets<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:240,&quot;335559739&quot;:240}\">\u00a0<\/span><\/li>\n<\/ul>\n<p><span data-contrast=\"auto\">Consider a suspicious login. An agent can compare the event with approved identity and access signals, review relevant activity, and flag the incident for an analyst. Depending on the organisation&#8217;s policies, it may also be able to take a predefined containment action.<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:240,&quot;335559739&quot;:240}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">The important distinction is control. Security agents\u00a0must\u00a0operate\u00a0within\u00a0strict permissions\u00a0with logging, escalation\u00a0rules\u00a0and human approval for actions. These factors may\u00a0materially affect systems or users.<\/span><\/p>\n<h2 id=\"how-to-identify-the-right-ai-agent-use-case-for-your-enterprise\"><strong><span class=\"TextRun SCXW127511182 BCX8\" lang=\"EN-GB\" xml:lang=\"EN-GB\" data-contrast=\"none\"><span class=\"NormalTextRun SCXW127511182 BCX8\" data-ccp-parastyle=\"heading 2\">How to Identify the Right AI Agent Use Case for Your Enterprise<\/span><\/span><span class=\"EOP Selected SCXW127511182 BCX8\" data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;134245418&quot;:true,&quot;134245529&quot;:true,&quot;335559738&quot;:299,&quot;335559739&quot;:299}\">\u00a0<\/span><\/strong><\/h2>\n<p><span data-contrast=\"auto\">Not each\u00a0business process needs an AI agent. The strongest candidates usually have enough transaction volume to justify automation, a clearly defined outcome, and enough structure to measure whether the agent is performing correctly.<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:240,&quot;335559739&quot;:240}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">Look for processes with several of these characteristics:<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:240,&quot;335559739&quot;:240}\">\u00a0<\/span><\/p>\n<ul>\n<li aria-setsize=\"-1\" data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"34\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;\uf0b7&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" data-aria-posinset=\"1\" data-aria-level=\"1\"><span data-contrast=\"auto\">The task occurs\u00a0frequently\u00a0enough to justify investment<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:240,&quot;335559739&quot;:240}\">\u00a0<\/span><\/li>\n<\/ul>\n<ul>\n<li aria-setsize=\"-1\" data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"34\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;\uf0b7&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" data-aria-posinset=\"2\" data-aria-level=\"1\"><span data-contrast=\"auto\">The expected outcome can be defined and measured<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:240,&quot;335559739&quot;:240}\">\u00a0<\/span><\/li>\n<\/ul>\n<ul>\n<li aria-setsize=\"-1\" data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"34\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;\uf0b7&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" data-aria-posinset=\"3\" data-aria-level=\"1\"><span data-contrast=\"auto\">Multiple systems or information sources are involved<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:240,&quot;335559739&quot;:240}\">\u00a0<\/span><\/li>\n<\/ul>\n<ul>\n<li aria-setsize=\"-1\" data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"34\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;\uf0b7&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" data-aria-posinset=\"4\" data-aria-level=\"1\"><span data-contrast=\"auto\">Required data can be accessed through APIs or approved integrations<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:240,&quot;335559739&quot;:240}\">\u00a0<\/span><\/li>\n<\/ul>\n<ul>\n<li aria-setsize=\"-1\" data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"34\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;\uf0b7&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" data-aria-posinset=\"5\" data-aria-level=\"1\"><span data-contrast=\"auto\">Errors can be detected, reversed, or escalated<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:240,&quot;335559739&quot;:240}\">\u00a0<\/span><\/li>\n<\/ul>\n<ul>\n<li aria-setsize=\"-1\" data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"34\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;\uf0b7&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" data-aria-posinset=\"6\" data-aria-level=\"1\"><span data-contrast=\"auto\">Human approval can be introduced where the consequences are significant<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:240,&quot;335559739&quot;:240}\">\u00a0<\/span><\/li>\n<\/ul>\n<p><span data-contrast=\"auto\">A\u00a0realistic\u00a0path\u00a0to\u00a0select or sort\u00a0opportunities is to assess\u00a0each\u00a0and every\u00a0process against\u00a0<\/span><b><span data-contrast=\"auto\">business value, technical feasibility, risk, and implementation effort<\/span><\/b><span data-contrast=\"auto\">.\u00a0A use case may look\u00a0best in a demo, but it may not be ready for production if the data is\u00a0unarranged or any wrong action could be costly.<\/span><\/p>\n<h2 id=\"how-to-measure-the-roi-of-enterprise-ai-agent-use-cases\"><strong><span class=\"TextRun SCXW261572125 BCX8\" lang=\"EN-GB\" xml:lang=\"EN-GB\" data-contrast=\"none\"><span class=\"NormalTextRun SCXW261572125 BCX8\" data-ccp-parastyle=\"heading 2\">How to Measure the ROI of Enterprise AI Agent Use Cases<\/span><\/span><span class=\"EOP Selected SCXW261572125 BCX8\" data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;134245418&quot;:true,&quot;134245529&quot;:true,&quot;335559738&quot;:299,&quot;335559739&quot;:299}\">\u00a0<\/span><\/strong><\/h2>\n<h2 id=\"\"><img decoding=\"async\" class=\"alignnone wp-image-23345 size-full\" src=\"https:\/\/www.sphinx-solution.com\/blog\/wp-content\/uploads\/2026\/09\/How-to-Measure-the-ROI-of-Enterprise-AI-Agent-Use-Cases_.webp\" alt=\"How to Measure the ROI of Enterprise AI Agent Use Cases\" width=\"700\" height=\"344\" srcset=\"https:\/\/www.sphinx-solution.com\/blog\/wp-content\/uploads\/2026\/09\/How-to-Measure-the-ROI-of-Enterprise-AI-Agent-Use-Cases_.webp 700w, https:\/\/www.sphinx-solution.com\/blog\/wp-content\/uploads\/2026\/09\/How-to-Measure-the-ROI-of-Enterprise-AI-Agent-Use-Cases_-300x147.webp 300w, https:\/\/www.sphinx-solution.com\/blog\/wp-content\/uploads\/2026\/09\/How-to-Measure-the-ROI-of-Enterprise-AI-Agent-Use-Cases_-390x192.webp 390w\" sizes=\"(max-width: 700px) 100vw, 700px\" \/><\/h2>\n<p><span data-contrast=\"none\">An AI agent&#8217;s return on investment should be compared to how the procedure\u00a0operated\u00a0prior to deployment. It is simpler to distinguish real progress from conjecture when a baseline is\u00a0established\u00a0prior to the pilot.\u00a0<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335551550&quot;:1,&quot;335551620&quot;:1,&quot;335557856&quot;:16777215,&quot;335559738&quot;:0,&quot;335559739&quot;:0,&quot;335559740&quot;:435}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"none\">The advantages of AI agents for businesses may typically be divided into four major categories:<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335551550&quot;:1,&quot;335551620&quot;:1,&quot;335557856&quot;:16777215,&quot;335559738&quot;:0,&quot;335559739&quot;:0,&quot;335559740&quot;:435}\">\u00a0<\/span><\/p>\n<table data-tablestyle=\"MsoTable15Grid4Accent1\" data-tablelook=\"1696\" aria-rowcount=\"5\" aria-colcount=\"2\">\n<tbody>\n<tr aria-rowindex=\"1\">\n<td data-celllook=\"4369\"><b><span data-contrast=\"none\">Metric Category<\/span><\/b><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335551550&quot;:2,&quot;335551620&quot;:2,&quot;335559738&quot;:0,&quot;335559739&quot;:0}\">\u00a0<\/span><\/td>\n<td data-celllook=\"4369\"><b><span data-contrast=\"none\">What to Measure<\/span><\/b><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335551550&quot;:2,&quot;335551620&quot;:2,&quot;335559738&quot;:0,&quot;335559739&quot;:0}\">\u00a0<\/span><\/td>\n<\/tr>\n<tr aria-rowindex=\"2\">\n<td data-celllook=\"0\"><b><span data-contrast=\"auto\">Efficiency<\/span><\/b><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:0,&quot;335559739&quot;:0}\">\u00a0<\/span><\/td>\n<td data-celllook=\"0\"><span data-contrast=\"auto\">Time saved per task, cycle time, throughput<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:0,&quot;335559739&quot;:0}\">\u00a0<\/span><\/td>\n<\/tr>\n<tr aria-rowindex=\"3\">\n<td data-celllook=\"0\"><b><span data-contrast=\"auto\">Cost<\/span><\/b><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:0,&quot;335559739&quot;:0}\">\u00a0<\/span><\/td>\n<td data-celllook=\"0\"><span data-contrast=\"auto\">Cost per transaction, reduced outsourcing<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:0,&quot;335559739&quot;:0}\">\u00a0<\/span><\/td>\n<\/tr>\n<tr aria-rowindex=\"4\">\n<td data-celllook=\"0\"><b><span data-contrast=\"auto\">Quality<\/span><\/b><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:0,&quot;335559739&quot;:0}\">\u00a0<\/span><\/td>\n<td data-celllook=\"0\"><span data-contrast=\"auto\">Error rates, rework, compliance exceptions<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:0,&quot;335559739&quot;:0}\">\u00a0<\/span><\/td>\n<\/tr>\n<tr aria-rowindex=\"5\">\n<td data-celllook=\"0\"><b><span data-contrast=\"auto\">Experience<\/span><\/b><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:0,&quot;335559739&quot;:0}\">\u00a0<\/span><\/td>\n<td data-celllook=\"0\"><span data-contrast=\"auto\">Customer and employee satisfaction<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:0,&quot;335559739&quot;:0}\">\u00a0<\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p><span data-contrast=\"auto\">A basic ROI calculation is:<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:240,&quot;335559739&quot;:240}\">\u00a0<\/span><\/p>\n<p><b><span data-contrast=\"auto\">ROI = (Annual value\u00a0earned \u2212 Total ownership\u00a0cost)\u00a0\u00f7 Total\u00a0ownership cost\u00a0\u00d7 100<\/span><\/b><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:240,&quot;335559739&quot;:240}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">The total cost should go beyond the model or API bill.\u00a0Integration efforts, infrastructure, security measures, monitoring and maintenance, and human examination all contribute to the economics of an AI agent.<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:240,&quot;335559739&quot;:240}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">\u00a0Another important metric is the automation rate, meaning the percentage of cases performed by the agent without requiring human involvement. However, a higher automation rate is not necessarily better; for some critically important operations, a lower automation rate with more rigorous human review might be the right approach.<\/span><\/p>\n<h2 id=\"build-buy-or-partner-for-enterprise-ai-agents\"><strong><span class=\"TextRun SCXW89722614 BCX8\" lang=\"EN-GB\" xml:lang=\"EN-GB\" data-contrast=\"none\"><span class=\"NormalTextRun SCXW89722614 BCX8\" data-ccp-parastyle=\"heading 2\">Build, Buy, or Partner for Enterprise AI Agents?<\/span><\/span><span class=\"EOP Selected SCXW89722614 BCX8\" data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;134245418&quot;:true,&quot;134245529&quot;:true,&quot;335559738&quot;:299,&quot;335559739&quot;:299}\">\u00a0<\/span><\/strong><\/h2>\n<p><span class=\"TextRun SCXW24052174 BCX8\" lang=\"EN-GB\" xml:lang=\"EN-GB\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW24052174 BCX8\">The\u00a0<\/span><span class=\"NormalTextRun SCXW24052174 BCX8\">selection<\/span><span class=\"NormalTextRun SCXW24052174 BCX8\">\u00a0between building, buying, or partnering\u00a0<\/span><span class=\"NormalTextRun SCXW24052174 BCX8\">relies<\/span><span class=\"NormalTextRun SCXW24052174 BCX8\">\u00a0on the workflow, internal capabilities, integration requirements, and the\u00a0differentiation<\/span><span class=\"NormalTextRun SCXW24052174 BCX8\">\u00a0<\/span><span class=\"NormalTextRun SCXW24052174 BCX8\">degree<\/span><span class=\"NormalTextRun SCXW24052174 BCX8\">\u00a0involved.<\/span><\/span><span class=\"EOP Selected SCXW24052174 BCX8\" data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:240,&quot;335559739&quot;:240}\">\u00a0<\/span><\/p>\n<table data-tablestyle=\"MsoNormalTable\" data-tablelook=\"1696\" aria-rowcount=\"4\" aria-colcount=\"3\">\n<tbody>\n<tr aria-rowindex=\"1\">\n<td data-celllook=\"4369\"><b><span data-contrast=\"auto\">Approach<\/span><\/b><span data-contrast=\"auto\">\u00a0<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335551550&quot;:2,&quot;335551620&quot;:2,&quot;335559738&quot;:0,&quot;335559739&quot;:0}\">\u00a0<\/span><\/td>\n<td data-celllook=\"4369\"><b><span data-contrast=\"auto\">Best For<\/span><\/b><span data-contrast=\"auto\">\u00a0<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335551550&quot;:2,&quot;335551620&quot;:2,&quot;335559738&quot;:0,&quot;335559739&quot;:0}\">\u00a0<\/span><\/td>\n<td data-celllook=\"4369\"><b><span data-contrast=\"auto\">Trade-offs<\/span><\/b><span data-contrast=\"auto\">\u00a0<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335551550&quot;:2,&quot;335551620&quot;:2,&quot;335559738&quot;:0,&quot;335559739&quot;:0}\">\u00a0<\/span><\/td>\n<\/tr>\n<tr aria-rowindex=\"2\">\n<td data-celllook=\"4369\"><span data-contrast=\"auto\">Build\u00a0<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335551550&quot;:2,&quot;335551620&quot;:2,&quot;335559738&quot;:0,&quot;335559739&quot;:0}\">\u00a0<\/span><\/td>\n<td data-celllook=\"4369\"><span data-contrast=\"auto\">Core processes using proprietary data\u00a0<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335551550&quot;:2,&quot;335551620&quot;:2,&quot;335559738&quot;:0,&quot;335559739&quot;:0}\">\u00a0<\/span><\/td>\n<td data-celllook=\"4369\"><span data-contrast=\"auto\">Full control, but requires strong AI and engineering capability\u00a0<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335551550&quot;:2,&quot;335551620&quot;:2,&quot;335559738&quot;:0,&quot;335559739&quot;:0}\">\u00a0<\/span><\/td>\n<\/tr>\n<tr aria-rowindex=\"3\">\n<td data-celllook=\"4369\"><span data-contrast=\"auto\">Buy\u00a0<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335551550&quot;:2,&quot;335551620&quot;:2,&quot;335559738&quot;:0,&quot;335559739&quot;:0}\">\u00a0<\/span><\/td>\n<td data-celllook=\"4369\"><span data-contrast=\"auto\">Standard functions such as IT service management\u00a0<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335551550&quot;:2,&quot;335551620&quot;:2,&quot;335559738&quot;:0,&quot;335559739&quot;:0}\">\u00a0<\/span><\/td>\n<td data-celllook=\"4369\"><span data-contrast=\"auto\">Faster deployment, but less customisation\u00a0<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335551550&quot;:2,&quot;335551620&quot;:2,&quot;335559738&quot;:0,&quot;335559739&quot;:0}\">\u00a0<\/span><\/td>\n<\/tr>\n<tr aria-rowindex=\"4\">\n<td data-celllook=\"4369\"><span data-contrast=\"auto\">Partner\u00a0<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335551550&quot;:2,&quot;335551620&quot;:2,&quot;335559738&quot;:0,&quot;335559739&quot;:0}\">\u00a0<\/span><\/td>\n<td data-celllook=\"4369\"><span data-contrast=\"auto\">Complex, multi-system workflows\u00a0<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335551550&quot;:2,&quot;335551620&quot;:2,&quot;335559738&quot;:0,&quot;335559739&quot;:0}\">\u00a0<\/span><\/td>\n<td data-celllook=\"4369\"><span data-contrast=\"auto\">Access to specialist\u00a0expertise\u00a0with faster implementation<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335551550&quot;:2,&quot;335551620&quot;:2,&quot;335559738&quot;:0,&quot;335559739&quot;:0}\">\u00a0<\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p><span data-contrast=\"auto\">A practical enterprise strategy may combine all three approaches. Standard workflows can use an existing product, while a differentiated business process may justify a custom agent.<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:240,&quot;335559739&quot;:240}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">A\u00a0partner for\u00a0AI\u00a0development can\u00a0be\u00a0specifically\u00a0useful when the project\u00a0has\u00a0ERP, CRM, data platforms, legacy applications, security controls, and\u00a0many\u00a0approval points. The technical challenge is\u00a0mostly\u00a0not the model itself\u00a0but making the\u00a0entire\u00a0workflow\u00a0must function\u00a0with reliability\u00a0across the enterprise\u00a0ecosystem.<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:240,&quot;335559739&quot;:240}\">\u00a0<\/span><\/p>\n<h2 id=\"how-to-implement-ai-agents-in-the-enterprise-stepwise\"><strong><span class=\"TextRun SCXW178729380 BCX8\" lang=\"EN-GB\" xml:lang=\"EN-GB\" data-contrast=\"none\"><span class=\"NormalTextRun SCXW178729380 BCX8\" data-ccp-parastyle=\"heading 2\">How to Implement AI Agents in the Enterprise\u00a0<\/span><span class=\"NormalTextRun SCXW178729380 BCX8\" data-ccp-parastyle=\"heading 2\">Stepwise<\/span><\/span><span class=\"EOP Selected SCXW178729380 BCX8\" data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;134245418&quot;:true,&quot;134245529&quot;:true,&quot;335559738&quot;:299,&quot;335559739&quot;:299}\">\u00a0<\/span><\/strong><\/h2>\n<p><img decoding=\"async\" class=\"alignnone wp-image-23346 size-full\" src=\"https:\/\/www.sphinx-solution.com\/blog\/wp-content\/uploads\/2026\/09\/How-to-Implement-AI-Agents-in-the-Enterprise-Stepwise.webp\" alt=\"How to Implement AI Agents in the Enterprise Stepwise\" width=\"700\" height=\"319\" srcset=\"https:\/\/www.sphinx-solution.com\/blog\/wp-content\/uploads\/2026\/09\/How-to-Implement-AI-Agents-in-the-Enterprise-Stepwise.webp 700w, https:\/\/www.sphinx-solution.com\/blog\/wp-content\/uploads\/2026\/09\/How-to-Implement-AI-Agents-in-the-Enterprise-Stepwise-300x137.webp 300w, https:\/\/www.sphinx-solution.com\/blog\/wp-content\/uploads\/2026\/09\/How-to-Implement-AI-Agents-in-the-Enterprise-Stepwise-390x178.webp 390w\" sizes=\"(max-width: 700px) 100vw, 700px\" \/><\/p>\n<p><span data-contrast=\"auto\">A phased approach\u00a0minimises\u00a0the risk of moving\u00a0much\u00a0quickly\u00a0right\u00a0from a promising prototype to a production system.<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:240,&quot;335559739&quot;:240}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">Img\u00a0or info graphics for below<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:240,&quot;335559739&quot;:240}\">\u00a0<\/span><\/p>\n<ol>\n<li><b><span data-contrast=\"auto\">Choose one problem and define measurable goals.<\/span><\/b><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:240,&quot;335559739&quot;:240}\">\u00a0<\/span><\/li>\n<li><b><span data-contrast=\"auto\">Confirm the agent can access the required data and APIs.<\/span><\/b><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:240,&quot;335559739&quot;:240}\">\u00a0<\/span><\/li>\n<li><b><span data-contrast=\"auto\">Design the architecture<\/span><\/b><span data-contrast=\"auto\">, including the model, tools, memory, permissions, and human approval points.<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:240,&quot;335559739&quot;:240}\">\u00a0<\/span><\/li>\n<li><b><span data-contrast=\"auto\">Define guardrails<\/span><\/b><span data-contrast=\"auto\">\u00a0for access, logging, escalation, and\u00a0permitted\u00a0actions.<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:240,&quot;335559739&quot;:240}\">\u00a0<\/span><\/li>\n<li><b><span data-contrast=\"auto\">Run a controlled pilot<\/span><\/b><span data-contrast=\"auto\">, initially using shadow mode where the agent recommends actions and people make the final decisions.<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:240,&quot;335559739&quot;:240}\">\u00a0<\/span><\/li>\n<li><b><span data-contrast=\"auto\">Compare the results with the baseline<\/span><\/b><span data-contrast=\"auto\">\u00a0and address accuracy, integration, or workflow issues.<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:240,&quot;335559739&quot;:240}\">\u00a0<\/span><\/li>\n<li><b><span data-contrast=\"auto\">Scale gradually<\/span><\/b><span data-contrast=\"auto\">\u00a0and assign clear ownership for the agent, its data, integrations, and ongoing performance.<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:240,&quot;335559739&quot;:240}\">\u00a0<\/span><\/li>\n<\/ol>\n<p><span data-contrast=\"auto\">Production deployment should also include monitoring. An agent can behave differently as application interfaces, user behaviour,\u00a0business data\u00a0and\u00a0implicitly\u00a0models change.<\/span><\/p>\n<h2 id=\"main-challenges-of-enterprise-ai-agent-adoption-and-how-to-overcome-them\"><strong><span class=\"TextRun SCXW186915266 BCX8\" lang=\"EN-GB\" xml:lang=\"EN-GB\" data-contrast=\"none\"><span class=\"NormalTextRun SCXW186915266 BCX8\" data-ccp-parastyle=\"heading 2\">Main<\/span><span class=\"NormalTextRun SCXW186915266 BCX8\" data-ccp-parastyle=\"heading 2\">\u00a0Challenges of Enterprise AI Agent Adoption (and How to Overcome Them)<\/span><\/span><\/strong><\/h2>\n<p><span data-contrast=\"auto\">The main barriers to deploying agents successfully usually involve data, integration, governance, and operating processes, not the AI model itself. Gartner has warned that many agentic AI projects might be stopped before they deliver the value people expect.<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:240,&quot;335559739&quot;:240}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">The table below outlines common issues that organisations need to address as they scale their\u00a0<\/span><b><span data-contrast=\"auto\">AI agent use cases<\/span><\/b><span data-contrast=\"auto\">.<\/span><\/p>\n<table data-tablestyle=\"MsoTable15Grid4Accent1\" data-tablelook=\"1696\" aria-rowcount=\"7\" aria-colcount=\"2\">\n<tbody>\n<tr aria-rowindex=\"1\">\n<td data-celllook=\"4369\"><b><span data-contrast=\"none\">Challenge<\/span><\/b><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335551550&quot;:2,&quot;335551620&quot;:2,&quot;335559738&quot;:0,&quot;335559739&quot;:0}\">\u00a0<\/span><\/td>\n<td data-celllook=\"4369\"><b><span data-contrast=\"none\">How to Overcome It<\/span><\/b><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335551550&quot;:2,&quot;335551620&quot;:2,&quot;335559738&quot;:0,&quot;335559739&quot;:0}\">\u00a0<\/span><\/td>\n<\/tr>\n<tr aria-rowindex=\"2\">\n<td data-celllook=\"0\"><b><span data-contrast=\"auto\">Poor data quality and silos<\/span><\/b><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:0,&quot;335559739&quot;:0}\">\u00a0<\/span><\/td>\n<td data-celllook=\"0\"><span data-contrast=\"auto\">Clean, standardise, and connect relevant data before deployment<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:0,&quot;335559739&quot;:0}\">\u00a0<\/span><\/td>\n<\/tr>\n<tr aria-rowindex=\"3\">\n<td data-celllook=\"0\"><b><span data-contrast=\"auto\">Security risks<\/span><\/b><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:0,&quot;335559739&quot;:0}\">\u00a0<\/span><\/td>\n<td data-celllook=\"0\"><span data-contrast=\"auto\">Apply least-privilege access, authentication, and detailed audit logs<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:0,&quot;335559739&quot;:0}\">\u00a0<\/span><\/td>\n<\/tr>\n<tr aria-rowindex=\"4\">\n<td data-celllook=\"0\"><b><span data-contrast=\"auto\">Hallucinations and incorrect actions<\/span><\/b><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:0,&quot;335559739&quot;:0}\">\u00a0<\/span><\/td>\n<td data-celllook=\"0\"><span data-contrast=\"auto\">Ground agents in verified data and require approval for high-impact decisions<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:0,&quot;335559739&quot;:0}\">\u00a0<\/span><\/td>\n<\/tr>\n<tr aria-rowindex=\"5\">\n<td data-celllook=\"0\"><b><span data-contrast=\"auto\">Legacy integration<\/span><\/b><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:0,&quot;335559739&quot;:0}\">\u00a0<\/span><\/td>\n<td data-celllook=\"0\"><span data-contrast=\"auto\">Use APIs or middleware and involve enterprise IT early<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:0,&quot;335559739&quot;:0}\">\u00a0<\/span><\/td>\n<\/tr>\n<tr aria-rowindex=\"6\">\n<td data-celllook=\"0\"><b><span data-contrast=\"auto\">Unclear ROI<\/span><\/b><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:0,&quot;335559739&quot;:0}\">\u00a0<\/span><\/td>\n<td data-celllook=\"0\"><span data-contrast=\"auto\">Establish measurable baselines before starting the pilot<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:0,&quot;335559739&quot;:0}\">\u00a0<\/span><\/td>\n<\/tr>\n<tr aria-rowindex=\"7\">\n<td data-celllook=\"0\"><b><span data-contrast=\"auto\">Employee resistance<\/span><\/b><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:0,&quot;335559739&quot;:0}\">\u00a0<\/span><\/td>\n<td data-celllook=\"0\"><span data-contrast=\"auto\">Involve affected teams early and position agents as workflow support<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335559738&quot;:0,&quot;335559739&quot;:0}\">\u00a0<\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h2 id=\"conclusion\"><strong><span class=\"TextRun SCXW114516564 BCX8\" lang=\"EN-GB\" xml:lang=\"EN-GB\" data-contrast=\"none\"><span class=\"NormalTextRun SCXW114516564 BCX8\" data-ccp-parastyle=\"heading 2\">Conclusion<\/span><\/span><span class=\"EOP Selected SCXW114516564 BCX8\" data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;134245418&quot;:true,&quot;134245529&quot;:true,&quot;335559738&quot;:299,&quot;335559739&quot;:299}\">\u00a0<\/span><\/strong><\/h2>\n<p><span data-contrast=\"auto\">The most advanced\u00a0<\/span><b><span data-contrast=\"auto\">AI agents<\/span><\/b><span data-contrast=\"auto\">\u00a0can be given\u00a0easier\u00a0tasks sometimes. They sort\u00a0real issues, fit right into current running workflows, and trim down time without adding new risks.\u00a0<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335551550&quot;:0,&quot;335551620&quot;:0,&quot;335559738&quot;:240,&quot;335559739&quot;:240}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"none\">Businesses in the financial, banking, healthcare, retail, human resources, and information technology sectors are employing these systems to routinize operations, derive value from data, and perform end-to-end business processes that require a combination of different tasks.\u00a0\u00a0<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335551550&quot;:0,&quot;335551620&quot;:0,&quot;335559738&quot;:240,&quot;335559739&quot;:240}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"none\">The teams that want to adopt enterprise AI agents should begin with one well-defined business process, test it in real-life settings, and then look to expand.<\/span><\/p>\n<p><span class=\"NormalTextRun SCXW171027878 BCX8\">Choose\u00a0<\/span><span class=\"NormalTextRun SCXW171027878 BCX8\">a simple process<\/span><span class=\"NormalTextRun SCXW171027878 BCX8\">\u00a0with clear, trackable results<\/span><span class=\"NormalTextRun SCXW171027878 BCX8\">. H<\/span><span class=\"NormalTextRun SCXW171027878 BCX8\">umans can easily\u00a0<\/span><span class=\"NormalTextRun SCXW171027878 BCX8\">monitor<\/span><span class=\"NormalTextRun SCXW171027878 BCX8\">\u00a0these ones.<\/span><span class=\"NormalTextRun SCXW171027878 BCX8\">\u00a0If it works in real life, the same idea could easily be applied elsewhere.<\/span><\/p>\n<h2 id=\"faqs\"><strong><span class=\"TextRun SCXW148306412 BCX8\" lang=\"EN-GB\" xml:lang=\"EN-GB\" data-contrast=\"none\"><span class=\"NormalTextRun SCXW148306412 BCX8\" data-ccp-parastyle=\"heading 2\">FAQs\u00a0<\/span><\/span><span class=\"EOP Selected SCXW148306412 BCX8\" data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;134245418&quot;:true,&quot;134245529&quot;:true,&quot;335559738&quot;:299,&quot;335559739&quot;:299}\">\u00a0<\/span><\/strong><\/h2>\n<p aria-level=\"2\"><b><span data-contrast=\"none\">In what ways are AI agents applied?<\/span><\/b><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;134245418&quot;:true,&quot;134245529&quot;:true,&quot;335559738&quot;:299,&quot;335559739&quot;:299}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">AI agents can be applied when multiple-step processes are needed to complete a query rather than\u00a0offer\u00a0a simple response. They can extract data,\u00a0interface with\u00a0integrated systems, and perform routine tasks with minimal amount of human input. Common AI agent\u00a0use\u00a0cases include customer support, invoice processing, fraud detection, claims processing, recruitment coordination, and IT service management.<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335551550&quot;:0,&quot;335551620&quot;:0,&quot;335559738&quot;:240,&quot;335559739&quot;:240}\">\u00a0<\/span><\/p>\n<p aria-level=\"3\"><b><span data-contrast=\"none\">What are a few examples of AI agents?<\/span><\/b><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;134245418&quot;:true,&quot;134245529&quot;:true,&quot;335551550&quot;:0,&quot;335551620&quot;:0,&quot;335559738&quot;:281,&quot;335559739&quot;:281}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">An accounts payable agent\u00a0may reconcile an invoice against a purchase order,\u00a0whereas\u00a0a customer service agent can handle an approved refund. A banking agent can extract data for a fraud investigation, and an IT agent is able to process a service ticket. These AI agent examples are valuable because they\u00a0can\u00a0perform a\u00a0portion\u00a0of the actual business processes as opposed to simply providing a response.<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335551550&quot;:0,&quot;335551620&quot;:0,&quot;335559738&quot;:240,&quot;335559739&quot;:240}\">\u00a0<\/span><\/p>\n<p aria-level=\"3\"><b><span data-contrast=\"none\">Which use cases for AI agents are best in business?<\/span><\/b><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;134245418&quot;:true,&quot;134245529&quot;:true,&quot;335551550&quot;:0,&quot;335551620&quot;:0,&quot;335559738&quot;:281,&quot;335559739&quot;:281}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">The most fitting AI agent use cases are typically those that are frequent, follow a\u00a0roughly standard\u00a0procedure, and produce an easily measurable outcome. Customer support, invoice processing, IT service management, and employee onboarding, as examples of such processes in a business setting. The AI agents\u00a0benefit\u00a0in these scenarios\u00a0are\u00a0the possibility of reduced repeat tasks, fast processing speeds, and a lower risk of human error in\u00a0regular\u00a0procedures.<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335551550&quot;:0,&quot;335551620&quot;:0,&quot;335559738&quot;:240,&quot;335559739&quot;:240}\">\u00a0<\/span><\/p>\n<p aria-level=\"3\"><b><span data-contrast=\"none\">How is an AI agent different from a chatbot?<\/span><\/b><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;134245418&quot;:true,&quot;134245529&quot;:true,&quot;335551550&quot;:0,&quot;335551620&quot;:0,&quot;335559738&quot;:281,&quot;335559739&quot;:281}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">A chatbot is\u00a0used to answer questions and\u00a0deliver\u00a0reply\u00a0to prompts.\u00a0<\/span><span data-contrast=\"none\">By carrying out\u00a0tasks\u00a0that drive progress toward those goals and by making use of the resources at hand, an AI agent can work toward specific\u00a0objectives.\u00a0<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335551550&quot;:0,&quot;335551620&quot;:0,&quot;335559738&quot;:240,&quot;335559739&quot;:240}\">\u00a0<\/span><\/p>\n<p aria-level=\"3\"><b><span data-contrast=\"none\">In which way do AI agents\u00a0operate?<\/span><\/b><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;134245418&quot;:true,&quot;134245529&quot;:true,&quot;335551550&quot;:0,&quot;335551620&quot;:0,&quot;335559738&quot;:281,&quot;335559739&quot;:281}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">An\u00a0<\/span><b><span data-contrast=\"auto\">AI agent<\/span><\/b><span data-contrast=\"auto\">\u00a0begins with a task or\u00a0objective\u00a0and\u00a0determines\u00a0the following procedures. The system\u00a0is able to\u00a0extract data,\u00a0utilize\u00a0connected tools or API, verify the results, and continue with the task or ask for human input. In the case of enterprise-level AI agents, permission, logging, validation, and approval functions help prevent unauthorized actions.<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335551550&quot;:0,&quot;335551620&quot;:0,&quot;335559738&quot;:240,&quot;335559739&quot;:240}\">\u00a0<\/span><\/p>\n<p aria-level=\"3\"><b><span data-contrast=\"none\">What types of AI agents are there?<\/span><\/b><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;134245418&quot;:true,&quot;134245529&quot;:true,&quot;335551550&quot;:0,&quot;335551620&quot;:0,&quot;335559738&quot;:281,&quot;335559739&quot;:281}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">Simple reflex, model-based, goal-based, utility-based, and learning agents are among the most common types. Businesses\u00a0can\u00a0utilize\u00a0specialized agents\u00a0those\u00a0operate\u00a0together in a multiple-agent system. In which,\u00a0every\u00a0agent\u00a0is responsible for\u00a0a\u00a0segment of a large\u00a0process\u00a0specifically.<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335551550&quot;:0,&quot;335551620&quot;:0,&quot;335559738&quot;:240,&quot;335559739&quot;:240}\">\u00a0<\/span><\/p>\n<p aria-level=\"3\"><b><span data-contrast=\"none\">What does agentic AI mean, and how is it different from generative AI?<\/span><\/b><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;134245418&quot;:true,&quot;134245529&quot;:true,&quot;335551550&quot;:0,&quot;335551620&quot;:0,&quot;335559738&quot;:281,&quot;335559739&quot;:281}\">\u00a0<\/span><\/p>\n<p><b><span data-contrast=\"auto\">Agentic AI\u00a0<\/span><\/b><span data-contrast=\"auto\">treats the AI model as a\u00a0component\u00a0of a system that\u00a0has the ability to\u00a0plan, use tools, make choices within certain constraints, and complete a task. In short, generative AI produces the result,\u00a0whereas\u00a0<\/span><b><span data-contrast=\"auto\">agentic AI<\/span><\/b><span data-contrast=\"auto\">\u00a0utilizes\u00a0AI to achieve a particular outcome.\u00a0<\/span><br \/>\n<b><span data-contrast=\"auto\">Generative AI\u00a0<\/span><\/b><span data-contrast=\"auto\">is\u00a0mainly used\u00a0to create text, images, code, and other content based on a prompt.<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335551550&quot;:0,&quot;335551620&quot;:0,&quot;335559738&quot;:240,&quot;335559739&quot;:240}\">\u00a0<\/span><\/p>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"Key Takeaways AI agent use cases are valued when they solve real business problems and handle multi-step workflows. 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