Bernt
b934797e65
- Added four pilot phases (product research, not marketing): 1. Collection — what can actually be detected? 2. Analysis — are decisions understandable? 3. Verification — was recommendation correct? 4. Reflection — what needs to change? - Measurement principle: - Not: Did AI find a crack? - But: Did this become a decision a real person could act on? - Document 'non-decisions' — equally valuable as clear decisions - Film workflow, not just infrastructure: - How you find area, choose mission, document - What feels unclear, when you become uncertain - When system saves time - Observer mindset: document first, change model later - Build model from real workflows, not assumptions Rationale: First 20-50 real missions teach more than months of modeling.
nordea-kyc-fraga3
@ f831552401
