AI Chatbot
Shaili Gupta
What is an AI chatbot
An AI chatbot is a conversational software application that uses artificial intelligence to interpret what a user says and give a relevant response. Some chatbots are intent-based and pick from a set of approved answers. Others are generative, creating responses on the fly with large language models and enterprise information.
How AI chatbots work
- The chatbot receives a customer message.
- It interprets the intent, key details, and context.
- It retrieves relevant knowledge or customer data.
- It generates a response or selects one.
- If action is needed, it calls an approved workflow.
- It confirms the result or asks a clarifying question.
- It escalates to a human when necessary.
AI chatbot vs. rules-based chatbot
A rules-based chatbot follows scripts or menus. It has limited context, gives fixed responses, and has few ways to handle a failure. If a customer words something unexpectedly, it often gets stuck.
An AI chatbot understands a much wider range of phrasing and can use the context of the conversation. It can generate responses grounded in trusted sources, and when it misunderstands, it can ask for clarification and recover.
Types of AI chatbots
- Intent-based chatbots
- Generative AI chatbots
- Customer service virtual agents
- Employee assistants
- Agentic chatbots, which can carry out multi-step workflows
Business and customer service use cases
- FAQs and knowledge search
- Order status
- Billing and account questions
- Appointment scheduling
- Returns and exchanges
- Troubleshooting
- Case creation
- Lead qualification
- Employee IT and HR support
How to reduce hallucinations
- Ground responses in trusted enterprise content.
- Restrict which tools the chatbot can access.
- Validate sensitive actions before they run.
- Evaluate the chatbot on representative conversations.
- Keep a clear path to a human agent.
How Sphinx Solution applies AI chatbots to CX
Sphinx Solution combines conversational AI with enterprise knowledge, routing, customer context, and workflow orchestration. That lets chatbots take part in the whole customer service journey instead of sitting on a website as disconnected widgets.
Chatbot metrics
- Task completion
- Resolution
- Fallback rate
- Escalation reason
- Repeat contact
- Customer effort
- Answer accuracy
- Workflow success
AI chatbots can understand varied language, use conversation context, and complete approved tasks. They work best when responses are grounded in trusted content, sensitive actions are validated, and customers can always reach a person.