Cognitive Sovereignty Self-Audit for Chief Operating Officers
This audit measures whether your operational decisions remain grounded in your own judgement or whether AI recommendations have become the primary driver. The stakes are high because supply chain failures and process breakdowns often happen in the edges that no model was trained to handle.
Every time an AI system recommends something, ask 'What is this optimising for?' and 'What would break if this was wrong?' Write the answers down.
Spend at least two hours a month on the shop floor, in the warehouse, or with your supply chain team. This time is your early warning system for when AI recommendations are missing something important.
When AI fails, treat it like a safety incident. Investigate why the model was wrong and what context it lacked. Brief your leadership team on what you discovered.
Push back on metrics that measure activity instead of outcomes. If your KPI tracks transactions processed rather than customer outcomes or operational resilience, the AI optimising against it will mislead you.
Train your team to voice doubts about AI recommendations without penalty. The frontline staff will spot the edge cases before any model does.