AI MVP Blueprint — from thesis to working product in six weeks.
Six weeks from a market thesis to a working MVP. The same arc we run on our own products — defined, built, and instrumented so you can decide what to ship next from data, not opinions.
Fixed scope. Named outcome. No surprise meters.
Product definition
Problem framing with the real operators, success metric definition, and the scoped first version.
Architecture
Stack, data model, integration surface, posture. The boring decisions that decide whether the product survives the second hundred users.
Build
Ship the MVP — instrumented, integrated, owned by your team from day one.
Launch + 90-day plan
Live with users, with a plan for the next quarter's learning and shipping.
- Working MVP, in your environment
- Architecture + data model documentation
- Instrumentation + evaluation harness
- 90-day roadmap from first signal
- Optional: embedded delivery leadership for the next arc
What usually comes next.
AI Opportunity Assessment
A structured read of where AI moves the needle in your business — and where it does not. You leave with a ranked opportunity map and an honest scope.
Workflow Automation Sprint
A single high-impact workflow — quote-to-cash, renewals, proposal ops — modernized with AI, in production, with human checkpoints.
RAG / Knowledge Pilot
A grounded knowledge assistant on your real corpus — with citations, guardrails, and a defined human review path. Not a demo.