$ cat ./solutions/README.md
Four ways to move from an AI initiative to a system your team can run. Each path ends in working artifacts, named owners, and a decision: launch, revise, or stop.
Choose a path
For Founders and product leaders with scattered pilots
Decide what to fund—and who owns it.
Turn use cases into a ranked 90-day plan with cost, risk, data, and delivery constraints attached.
See strategy workWorking artifacts
For Product and engineering teams with a prototype under pressure
Make the launch decision with evidence.
Add evaluation, observability, human review, failure handling, and rollback before customer traffic.
See production-readiness workWorking artifacts
For Teams whose workflow knowledge lives in people, chats, and prompts
Make workflow knowledge versioned, testable, and ready to hand off.
Define the context model, tool boundaries, interfaces, tests, and handoff loops needed for reliable operation.
See context-engineering workWorking artifacts
For API, ecommerce, and platform teams preparing for machine buyers
Design the transaction before exposing it.
Map identity, pricing, payment mode, receipts, refunds, fulfillment, and human review across buyer and merchant systems.
See agentic-commerce workWorking artifacts
Supporting work
Next decision
Use a 30-minute discovery call to identify the decision, evidence, and owner needed next. If a focused engagement is not the right fit, I'll say so.
