THE WORK, NOT THE PITCH.

Every pricing round, each of their charging stations was scored on usage, local competition and price position, then classified into a pricing group and priced by hand before a price could be signed off. The logic lived in one team's spreadsheets.

The pricing team rebuilt that logic as a model in code, with us in the work alongside them — every score, threshold and rule made explicit. They tested it against the stations the team had already priced, to confirm it produced the same result.

Each pricing round took up to four days. It now runs in minutes — and the automated model reproduced the team's classification. The logic no longer lives in one spreadsheet: it is explicit, checkable and repeatable. The capacity it frees is the real prize: room to refine the model and move toward dynamic pricing — prices that respond to demand and competition as the market shifts from filling stations to competing on them.

A stuck payment could be blocked by any of more than ten different faults — a missing contract, a mismatched date, a price that never loaded — and the cause could sit in any of three systems. Working out why one payment was stuck took the team 15 to 30 minutes of cross-checking before anyone could act on it.

The team that owns the process worked through the backlog with us alongside them, turning it from an undiagnosed pile into a sorted worklist: every payment grouped by what was blocking it, with the fix set out for the cases ready to clear.

That 15-to-30-minute investigation per case is largely gone: the cause now shows up front, so the team works down a ready list of fixes instead of chasing each payment across systems. The route to clearing the rest automatically is mapped, ready for them to run.

Recurring work ate the week, and the firm billed by the hour: every hour saved would be an hour it could no longer invoice.

The whole firm trained on real recurring work, and the firm redesigned how that saved time gets billed, so adoption would not evaporate into unbilled hours. Both happened with us in the work.

Months after the programme ended, people were still choosing to work with AI. Nobody made them.