A pilot that impresses in a demo is easy. We built the AI layer that people still use in month six, with the evaluation and cost controls that make it defensible.
Several AI experiments had stalled: impressive demos, no measurable adoption, and no way to tell whether answers were right.
Leadership needed a cost per answer they could forecast and evidence they could show an auditor.
Client: InvexAI
Each copilot scoped to a single job with a named owner and a measured baseline before build.
Retrieval over the company’s own content with permissions honoured, and a source next to every answer.
A fixed test set scored on every release, so quality is a number rather than an opinion.
Per-answer cost tracked from week one, model cards and usage policies written as the work went along.
Mainstream, well-supported technology — chosen so the client’s own team can own it afterwards.
The difference was the evaluation harness. Once we could see quality as a number, the business stopped arguing and started using it.
Chief Technology Officer, InvexAI
A regulatory AI assistant that drafts, checks and cites — so submission teams review instead of retype.
One ERP for the operation and bots inside every client portal — eligibility, claims, rejections and posting.
Orders, fleet, warehouse and billing in one system, with live visibility from booking to proof of delivery.
Tell us the number you need to move. We’ll tell you honestly what it takes and how quickly you’d see the first release.