Claude is already in use and governance has fallen to me. Where do I start?
With three steps, in order. First, move everyone onto a company plan: personal accounts give you no control over, or visibility of, what goes into them. Second, decide what data can go into Claude and limit its access to match. Third, enforce those rules through admin settings, permissions and hooks, because a policy document, or a Skill, is guidance and won't stop anything on its own. Each step has a trap or two, which is what a first call is for.
How do you show a return on Claude?
By measuring it. We pick two or three real use cases, record how the work is done today, build them with the safeguards in place, and measure the difference. That gives you figures to take to the board rather than a feeling, and shows where to go next. We skip generic training: real use cases teach people more and prove the value at the same time.
Can you take something we built with AI coding tools to production?
Yes. We start with a production-readiness audit of a frozen copy, run on our own environment so your live system is never touched. You get every finding with its evidence, and a view on whether to fix or rebuild. If you fix, each fix comes with an automated test and a recorded check, in the order your users would meet the problems.
Can agents run entirely inside our environment, on our own models?
Yes. We design agent platforms on open-source agents that run on your infrastructure against your own model endpoints, with sandboxing, scoped secrets, and configuration the agent cannot change. We usually start with a small, low-risk deployment and harden it from there.
Do you only work with Claude?
No. Claude is our primary specialism, but the operational problem comes first. We have deployed eight agent platforms in production: Claude, Claude Code, NemoClaw, Gemini, Codex, OpenClaw, OpenCode, Hermes. We select and combine technologies around the workflow, existing systems, risk profile, and people who will operate the result.
Can you work inside strict privacy and governance requirements?
Yes. For the Swiss Federal Institute of Intellectual Property we designed an internal research agent architecture where code never leaves a governed environment, with the tooling integrations, guardrails, and governance their privacy requirements demanded. Constraints like these are a design input, not an obstacle.
Do you work alongside our engineers?
Yes, and we prefer to. We can lead the architecture while your engineers build, work as part of your team, or deliver a fixed scope ourselves. Either way, the fixes and the decisions behind them are documented, so your team can own what we leave behind.
How do engagements start?
With a call to understand where you are. Most work then begins with a defined first piece, such as an audit, a discovery or a workshop, fixed in scope and price, so you can judge us on something real before committing to more.
What size of organisation do you work with?
Organisations of every size, from founder-led start-ups to large enterprises and public-sector bodies. Every engagement gets the same engineering, security, and governance discipline, whatever the size of the team.
Where are you based?
The UK. We work remotely and on-site with organisations across the UK, Europe, and beyond — recent work includes Switzerland and Germany.
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