01
Frame
Name the buyer decision, system boundary, representative data, integration surface, and riskiest assumption.
- Decision and workflow map
- Data and access assessment
- Architecture options
- Pilot scope and estimate
03
Delivery / Paid evidence gates
You commit one stage at a time.
We own the end-to-end result while separating unknowns from promises. Each phase produces usable outputs and an explicit decision to continue, change direction, or stop.
Discovery → Pilot → Production → Handover02
Prove
Test the risk against representative inputs with baselines, measurable acceptance, and visible failure cases.
- Evaluation dataset
- Baseline comparison
- Usable prototype
- Production gap analysis
03
Build
Engineer the complete workflow: application, model, data, cloud, security, observability, and recovery.
- Production implementation
- Automated validation
- Deployment and rollback
- Operational documentation
04
Operate or transfer
Stabilize the launch, train the owner, and choose handover, advisory, or agreed business-hours support.
- Launch and warranty
- Training and handover
- Monitoring review
- Optional support plan
Working rules
No hidden team. No hidden unknowns.
- 01The technical owners join the first fit call.
- 02Unknown AI outcomes become paid evidence, not free guarantees.
- 03Scope changes are visible before cost changes.
- 04Sensitive data stays in the client environment when practical.
- 05Support windows match real capacity and system criticality.
Before you commit
Money, ownership, timing, and what happens at the end.
Pricing, code ownership, warranty, cloud accounts, and stopping partway are answered in full on one page.
The first stage is small on purpose.
Discovery is bounded, paid, and ends with a decision you can act on, including the decision not to continue.
Start with the framing stage