AI coding tools for enterprise teams - with guardrails, not guesswork.

It is a structured rollout of AI coding tools like Claude Code, Cursor and Copilot across an engineering organisation: tool selection, guardrails, review gates, CI policies, training and measurement. You need it when developers are already using these tools informally, or leadership wants the productivity gains but security and quality concerns are blocking adoption. If you are a handful of engineers, you probably do not need a program; just pick a tool. At tens of developers, unmanaged adoption gets expensive.

We quote a fixed price after one scoping call, based on the number of teams, the tools in scope and how much guardrail and CI work your setup needs. No hourly billing and no open-ended consulting retainer: you get a defined set of deliverables, a price and a deadline. Tool licences are separate and paid by you directly to the vendors, so there is no markup hiding in our number.

Not if the rollout is configured correctly, and that configuration is a core part of what we deliver. Enterprise tiers of Claude Code, Cursor and Copilot offer no-training guarantees and data residency options; we set those up, document them, and put the risky defaults out of reach. We are an EU company, we work under EU contracts, and we treat GDPR and your security team's requirements as inputs to the design, not obstacles to argue with.

It depends on your stack, your workflows and your security constraints, which is why the assessment comes first. Many organisations end up with more than one: an agentic tool for senior engineers doing larger changes, autocomplete-style assistance for day-to-day work. We use these tools ourselves daily and have no reseller deals with any vendor, so the recommendation is based on what measurably works in your codebase, not on margin.

Unmanaged, yes. We audit AI-built codebases as a separate service, and the failure pattern is always the same: speed without review discipline. Managed properly, the quality risk is controllable: review gates that force human scrutiny on the right changes, CI policies that block the obvious failure modes, and standards for what AI may and may not touch. That is exactly the setup this service installs.

The assessment and pilot typically fit within weeks, not quarters: one squad, real sprint work, measured against a baseline. Scaling to the wider organisation depends on how many teams you have and how much variation there is between their stacks. You get a concrete timeline with the fixed price after the scoping call, and we commit to it. If your environment makes that timeline unrealistic, we say so on the call, not in month three.

No. Everything we produce transfers to you: the playbook, the guardrail configurations, the CI policies and the dashboards. We train your engineers and hand the setup to your platform or DevEx team to own. Some teams keep a light review cadence with us as the tools evolve, but that is optional, not built-in lock-in. If we did our job, you can run this without us.