Agentic AI across the software lifecycle
By the time a suite goes green, most of the cost is already committed — in an ambiguous requirement, an undocumented decision, a review that never checked the code against what was asked for. We build agentic AI that works inside the tools your teams already run, planning and acting and verifying across every phase, so the gaps between them stop leaking quality.
Agents are built against the tools you run today — your repositories, your ticketing, your model tenancy. There is no new platform to buy, migrate to, or get approved.
Every engagement starts with your lifecycle, not our catalogue. These are the seven places we most often find quality being lost, and the agents our engineers build, inside your environment, to hold them.
Reads epics and specs the way a senior engineer would: extracting acceptance criteria, flagging what is ambiguous, and holding a traceability line from the requirement to the code that satisfies it.
Builds to your specification inside your architecture — matching the conventions already in the repository rather than importing a house style your team then has to unpick.
Checks the diff against the requirement it was meant to satisfy, not just against style rules — and attaches the evidence your auditors will ask for six months from now.
Coverage measured against acceptance criteria rather than lines. Contract, performance and access gates run alongside the suite, so a green build means the change is right — not just that it executed.
Automates the handoffs that sit between teams and tools: change records raised from merged scope, status kept honest, the right people notified with the context already assembled.
Reconstructs behaviour from legacy source where the documentation is gone, maps it onto a modern target, and generates the parity harness that proves nothing was quietly dropped.
Suites written by a model arrive faster than anyone can read them. The agent reviews the generated tests themselves — catching the scenario whose data contradicts its own name, before it becomes a green tick nobody thinks to question.
How we work
Our engineers work inside your environment, not ours. They join your teams, in your tools, under your process — and build agents against the reality of your stack rather than against a reference architecture.
What we leave behind is running agents, not a set of recommendations.
Security
Most AI tooling asks for broad access and offers assurances about what it will do with it. Our agents work the other way around: they hold a service identity in each tool with exactly the permissions you grant, and nothing beyond them. What an agent cannot reach, it cannot affect.
Tell us where work slows down or quality slips, and we will show you the agent we would build for it — against your tools, on your terms.
Request a demo
We reply within two working days.