Case Studies

Enterprise AI Case Studies

Nine engagements across capital markets, power generation, equipment rental, financial services, counselling operations, cross-border trade and nonprofit operations — each covering the problem, why it resisted easier fixes, and what was built.

These are written to be useful rather than promotional. Each one spends most of its length on the problem and on why the obvious solutions do not work, because that is the part that transfers to a reader deciding whether their own situation is similar.

A pattern runs through nearly all of them: the constraint was rarely the intelligence of the model. It was the interface between the system and the people expected to use it, or the traceability the output needed in order to be usable at all. That is consistently where enterprise AI engagements succeed or stall.

01Engagements

What we've built.

Tell us what you're trying to solve.

Describe the workflow, the data behind it, and what a good outcome looks like. We read every message and reply personally.