AI proof of concept
Prove the AI workflow before it becomes a roadmap commitment
Test value, data readiness, human fallback, and operating cost before leadership funds AI at scale.
Decision path
AI proof should end in a scale, wait, or stop decision
Workflow value
Target one operational pain worth measuring.
Data readiness
Check quality, ownership, access, and monitoring early.
Production pilot
Build narrow, but with real integration and fallback discipline.