Most AI projects make you slightly faster at the thing you were already doing wrong.

We find where AI creates value in a specific business, then build it and run it in production. In practice that means mapping a process, agreeing a measurable outcome, building the agent or tool, and integrating it with the systems your team already uses.

Those tools help a person work faster; they don't own a process. What we build has your data, your rules, permissions and logging, and it runs whether or not someone remembers to open a chat window. If a Copilot licence solves your problem, we'll tell you to save the money.

We model it before we build it: how often the task happens, how long it takes, what it costs. Then we agree one metric you can check in your own tools. If the numbers don't hold up, the honest answer is not to build it.

Typically four to six weeks from the audit: one week to map and cost the opportunity, then two to four weeks to build and integrate. You see it running in your environment before it goes live to the team.

Scope and price are fixed in writing before any build starts, so there are no open-ended day rates. We only take on work we believe pays for itself inside 60–90 days, and if we can't see that payback we'll say so on the call.

No. We handle the design, build, integration and hosting. What we need from you is access to the relevant tools and one person internally who owns the outcome.

We work inside your existing platforms wherever possible, use least-privilege access, and don't train public models on your data. Anything sensitive is documented up front — what's used, where it goes, and who can see it.

Then we tell you, and you keep the map and the ROI model. We'd rather lose a build than ship something that quietly costs you more than it saves.