AI consulting for UK teams. Build it where the work happens.

A remote engagement needs more than a requirements document. We work with the people who handle the workflow, the team responsible for the systems and the person who can decide whether a release is ready. Working sessions, written decisions and demonstrations keep everyone looking at the same build.

We agree meeting times around the people involved and use shared tools for questions and feedback between sessions. The booking calendar lets you choose your timezone and an available slot. The delivery plan then sets out the working pattern, responsibilities and review points for the engagement.

Your IT and security teams remain involved in decisions about access, hosting and which information an agent may use. We establish the data sources, approved environments and permitted actions before implementation, and work within the constraints your business sets.

For a UK business working with an overseas provider, those details belong in the initial scope. Identify who can access each source, where information is processed and who approves a change. If a requirement cannot be met with the proposed tools, it needs resolving before the system handles that data.

Choose work that already has a clear owner and a repeatable input. A client update can draw on the same delivery and financial records the account owner checks today. An invoice workflow can prepare a checked batch while the executive retains final approval. A knowledge assistant can return an answer with the source that supports it.

We agree what a useful result looks like with the people who will use it. Testing includes missing information, conflicting records and requests outside the system’s permissions. A release should make those limits visible and give the team a clear path to review or take over.

We build in your codebase and the tools your team already works with. The shared foundation connects company knowledge, systems and permissions; later agents can use those connections as the work grows. Customer-facing AI can use that foundation inside your own product too.

The scope includes ownership and handover, so your team knows what runs where and how to maintain it. We can continue working alongside you or hand the system over to your engineers. The decision follows the needs of the build and your team.