QA discipline since 2010, long before any of this. We write the test set before the agent exists, which is why ours reach production rather than stalling in review.
Five services. One team that gets it to production.
Take one capability or combine several — AI agents, assurance, custom software, QA automation and compliance. We came out of software testing, so everything ships with the evidence to show it works.
Where we plug in
What we do.
Most engagements use two or three of these together. Each links through to what it actually involves.
01
AI Agent Development
Build agents that complete real work end to end — read the case, apply your policy, take the action and record why. Not chatbots that answer questions about the work.
Explore AI Agent Development 02AI Assurance & Evaluation
Prove how an AI system behaves before it goes live, and keep proving it afterwards. Evaluation suites, adversarial testing and drift monitoring built from your own cases.
Explore AI Assurance & Evaluation 03Custom Software Development
Build and modernise web, mobile and internal platforms, wired into the core systems you already run rather than sitting beside them.
Explore Custom Software Development 04QA & Test Automation
Release faster with automated regression suites, API and performance coverage, and real-device mobile testing wired into your pipeline.
Explore QA & Test Automation 05Compliance & RegTech Automation
Automate regulatory reporting, financial crime operations and statutory filings — behind maker-checker, with an audit trail a regulator will accept.
Explore Compliance & RegTech Automation 06WhatsApp AI Assistants
Put an agent on the channel your customers already use. Booking, support and follow-up over WhatsApp, handed to a human the moment it should be.
Explore WhatsApp AI Assistants 07Workflow Automation
Connect the tools you already pay for and let agents run the steps between them — on a schedule, on a trigger, or on approval.
Explore Workflow Automation 08Private Decision Models
Small, private AI models that make one decision well — route, classify, triage — with a confidence score your team can trust. Runs inside your network.
Explore Private Decision Models
Why us
The demo is the easy part.
Almost anyone can show you an impressive prototype now. What stops it reaching production is never the model.
Maker-checker, approval limits and an evidence trail are designed in from the first sprint, not bolted on when your risk committee asks.
Six systems of this shape run inside a live regulated bank today — compliance, reporting and internal service.
How we work
Four steps, and the tests come before the build.
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Measure it as it runs today
We sit with the team doing the work and record the baseline — volume, handling time, error rate, cost per case. Without it there is no honest way to claim an improvement later.
A number to beat -
Turn your history into a test set
Real past cases and the decisions your staff made become the standard the agent has to meet. This happens before anything is built.
Written first -
Build it inside your controls
On your real data, behind the approvals that already exist, at the autonomy level your risk function sets. Read-only until it has earned more.
Your gates, not ours -
Run it beside your team, then hand it over
It works in parallel with your people until the two agree. You get the runbook, the rollback and the source — and can take it in-house whenever you want.
No lock-in
Automating the bank behind the app.
Our flagship offering for financial institutions: the operating core behind the customer app — regulatory reporting, financial crime operations, correspondence and approvals.
Selected work
Agents running in production.
Three of the systems we have built. The institution is under NDA; a reference conversation can be arranged.
Sanctions screening
An autonomous agent that triages watchlist alerts, clears the obvious false matches and sends the rest on with the evidence already gathered.
LEA intake
Reads law-enforcement letters, OCRs the attachments, verifies the ID numbers against core banking and routes the request.
Policy assistant
Answers staff policy questions strictly from the bank's approved documents, behind a chain of guardrails.
How we start
Three ways in.
Most engagements begin with a discovery sprint and grow from there.
2 weeks
We map the process, score the candidates and come back with a shortlist, a control-gap review and a build estimate. Fixed fee.
6 weeks
One workflow, end to end: built, integrated, evaluated and running under supervision in your environment.
Ongoing
A standing team that expands the fleet, keeps the evals honest and runs the platform with you.
Tell us what you want an agent to do.
Bring a process, not a spec. We will tell you honestly whether an agent is the right answer for it.