Workflow & Process Automation
We take a process that currently runs on people copying between screens and rebuild it as one flow: triggered by an event, routed by rules, escalated to a human only where judgement is genuinely needed.
What We Build
We offer six core automation services. Most businesses need only two to get started, and we identify the right ones before any development begins.
We take a process that currently runs on people copying between screens and rebuild it as one flow: triggered by an event, routed by rules, escalated to a human only where judgement is genuinely needed.
We automate the reading and understanding of invoices, contracts, claims, purchase orders and forms, so no one has to key them in manually. Extraction, validation against your own systems, and a confidence score that decides what a person still checks.
Agents that plan a task, call your tools and carry it through, and copilots that sit beside your team in sales, support and operations, drafting, summarising and looking things up in seconds.
Support and service queues answered by AI that can actually act: check an order, raise a ticket, process a refund, book the appointment, and hand over cleanly when it should.
Bot-driven automation for legacy systems that lack an API but remain critical to your operations. UiPath, Automation Anywhere, Blue Prism and Power Automate, built and maintained by an in-house team.
Pipelines that pull from every source, reconcile what disagrees, and put the reporting on a schedule, so accurate reports arrive on schedule instead of being compiled manually days later.
Start Here
Bring one process that consumes the most of your team's time. We will map it, tell you honestly whether AI automation is the right answer, and put numbers against it. No slide deck, no obligation.
Technology
We choose each tool based on the job at hand, and often build on the platforms you already use.
Why Choose Us
Plenty of firms will sell you a platform. We work out which process is worth automating first, build it, and stay on it once it is live.
We have spent more than 16 years building software, with deep experience in process automation well before the current wave of AI.
Automation engineers, AI and ML specialists, data engineers and QA, all on our own payroll. No part of your project is ever subcontracted.
More than 1,500 builds shipped, a large share of them for clients who came back with the next process once the first one was running.
Healthcare, banking, retail, logistics, manufacturing and more. Compliance, audit trails and data residency are familiar ground, not a surprise late in the build.
Trusted by founders, CTOs and operations leads from early-stage companies through to Fortune 500 names, at rates that stay competitive.
Most of our work comes from clients we already have. That only happens when the solutions we delivered years ago are still running reliably without constant intervention.
Industries
Our automation adapts to the rules, regulations and workflows of each industry. Here is how it helps in the sectors we serve most.
Proof of Work
Three engagements where automation replaced manual effort, improved accuracy and gave teams time back for higher-value work.
ETISALAT
Automated telecom operations for one of the Middle East’s leading providers
Etisalat managed large volumes of customer, billing and operational data across multiple systems. Manual processing was time-consuming, resource-intensive and prone to inconsistencies that affected efficiency and service delivery.
They needed an automation framework capable of handling repetitive telecom workflows, reducing manual intervention, improving data accuracy and accelerating operational processes without disrupting existing systems.
An intelligent automation solution that streamlined telecom operations, automated data processing workflows, reduced manual effort, improved reporting accuracy and lifted operational efficiency across critical business functions.
TELEBRIGHT
Simplified telecom revenue assurance through intelligent automation
Telebright needed a scalable platform to help telecom operators monitor network performance, analyse usage data and find revenue leakage across very large datasets.
With billions of telecom records spread across systems, manual and semi-automated processes caused reporting delays, operational inefficiency and missed revenue discrepancies.
A telecom analytics and automation platform that automated data aggregation, revenue assurance workflows, reporting and performance monitoring, and turned the output into insight operators could act on.
TOP AMAZON FINOPS
Automated financial operations for an Amazon-focused business
The client was managing complex financial operations, reporting requirements and transaction data manually, which delayed business insights and steadily increased operational overhead.
They needed a central automation solution to streamline financial workflows, improve reporting accuracy, automate repetitive accounting tasks and give real-time visibility into business performance.
A financial operations automation platform that streamlined reporting, automated reconciliation, centralised financial data management and delivered insight through intelligent dashboards and analytics.
Reviews
Founders, CTOs and business leaders who trusted us with their most important technology projects.
Everything you need to know about automating a process with us. Can’t find your answer? Talk to us.
Ordinary automation follows a script: same input, same steps, every time. AI automation adds judgement, so it can read an unstructured document, work out what a customer is asking for, decide which of several paths applies, and keep going when the input is not exactly what it expected. In practice most of what we build is a mix of both, with rules doing the predictable parts and AI handling the parts that vary.
The ones that are high volume, rule-heavy and currently done by people moving data between screens. Invoice processing, claims intake, order entry, reconciliation, onboarding paperwork and first-line support queues are the usual starting points. We look for a process where the time saved is measurable in the first quarter, because early, measurable returns make it easier to justify the next phase of automation.
A single well-scoped process is usually live in six to ten weeks, including discovery, build, testing and a supervised pilot. A wider programme across several departments runs in phases over a few months, with each phase going live on its own rather than everything landing at the end.
No, and we would usually advise against it. AI automation sits on top of what you already run and coordinates between your CRM, ERP, email, databases and file stores through APIs, and through the screen itself where a system has no API. Your systems of record stay where they are.
It depends on how many systems the process touches and how much of it needs AI rather than rules. A single-process pilot is delivered as a fixed-price engagement, while a multi-process programme is scoped and priced in phases. We put a number against the saving during the free audit, so you can judge the payback before you commit.
Every automated decision is logged with its inputs, its output and a confidence score, so the trail is there when an auditor asks. Anything below the confidence threshold you set is routed to a person rather than guessed at. For regulated work we build to your data residency, retention and access rules from day one rather than retrofitting them.
In our experience, it removes the repetitive parts of the job, such as copying data, chasing approvals and re-entering information. Teams end up handling exceptions, judgement calls and the work that actually needs a person. We design the human-in-the-loop steps deliberately, because a process with no human checkpoint is a process nobody trusts.
We monitor it, and we stay on it. Processes drift, source systems change their forms, and models need retraining when the data underneath them moves. Support and optimisation are part of the engagement rather than an upsell, which is a large part of why our clients come back with the next process.