AI + automation · Consultancy · 2026 · In-house

AI adoption

Hands-on sessions, worked examples and a self-serve toolkit

Approved platforms only help if people use them well. We made AI practical for leaders and teams: learning by building, examples to copy and a toolkit for the platforms they're allowed to use.

In-house work: our founder leads AI engineering at a multi-site UK organisation, which isn’t named here.

The brief.

Leaders needed to see what AI could do for their departments, and teams needed a way to bring their own ideas forward and try them safely.

What we built.

Hands-on sessions: Sessions for the executive team and heads of department, and team sessions where people build their own use cases rather than watch a demo.
A pipeline for ideas: Every idea from the business rated for feasibility, effort and risk within an agreed number of working days.
Worked examples: Published each quarter, showing the workflow, the guard rails used and the measured result, so other teams can copy them.
A self-serve toolkit: A shared prompt library and templates on the approved platforms, used across sites.

Where it stands.

Sessions are running, the idea pipeline is open and the toolkit is in use across sites.

Want something like this?

Tell us what you’re trying to build or fix. A few sentences is plenty; we’ll ask about the rest.

What happens next

1We read your message and reply by email.
2We talk it through on a short call.
3If we’re a good fit, you get a written plan.