Structure first. Then build. Then leave.

One conversation, no charge. What the business actually needs, what already exists, and whether AI is the right instrument. If it is not, I say so and we are done.

• Problem definition in business terms
• Existing systems and data inventory
• Honest feasibility read

The design phase. Data flow, workflow shape, model selection, cost per operation, and failure modes, written down before any code exists.

• Written architecture brief
• Cost and scaling model
• Scope locked and priced

I write it. Shipped in working increments so you see real behavior early rather than a reveal at the end.

• Working software at each increment
• Weekly written progress brief
• Nothing claimed fixed without observed execution in logs

Evaluation against real cases, not demo cases. Where the system is wrong, we find out before your customers do.

• Evaluation harness against your data
• Cost and latency under real load
• Audit trails and observability in place

Documentation, working sessions with your engineers, and the keys. The measure of a good engagement is that you do not need me afterward.

• Runbooks and architecture docs
• Team training sessions
• Optional standing support, your call