AI Enablement
Eleven of our projects put AI in front of real users: care workers, procurement directors, instrument dealers, estate managers, students. Six weeks of analysis became a same-day answer at EVOLVE, and a 130-year archive became searchable in seconds at J & A Beare.
Most AI work stalls between the prototype that impressed the board and the system people use on a Tuesday. We start from the decision being made: who makes it, under what pressure, and what it costs when the model is wrong.
That leads to practical requirements — grounding in verified records, human confirmation on anything consequential, a clear split between what the system knows and what it inferred, and an audit trail a board can follow. Those are the reasons our AI work gets through procurement in regulated sectors.
We have built agentic analysis across 8.2 million member records, provenance tooling for instruments worth eight figures, and compliance support for schools under DfE inspection.
Feasibility before build
A short, paid piece of work that tells you whether it is worth building and what it costs to run. Sometimes the answer is no, and that saves you the build.
Set the limits first
We agree what a wrong answer costs before we design what a right answer looks like. In care and in authentication, that decides the architecture.
Auditability in the interface
Users need to trace an answer back to its source on screen, not in a log file, or they will not act on it.
Ship, measure, keep it running
Retrieval quality drifts, data sources move and users change how they ask. We stay on to keep it accurate.
Clients we have done this for
6 weeks → same day
Feasibility turnaround
EVOLVE
Site feasibility answered the same day instead of six weeks later.
3
User groups in one product
Dot
One shared record that keeps residents known as staff change.
130+ yrs
Of archive in one system
J & A Beare
130 years of instrument records searchable in seconds, with no risk of a wrong attribution.
0
Dashboards
Need 2 Know
Category managers get a supplier briefing in seconds, with no dashboard to learn.
3
Membership audiences served
Propolis
A membership community three audiences stay in, launched in 2021 and still growing.
Tell us what you are trying to fix.
Thirty minutes with the people who would do the work. You will leave with a view on whether it is worth building and roughly what it costs.