I am a non-technical owner and I do not know how to read code, but my team is running several custom AI scripts to handle our logistics. How do I personally audit these AI tools to ensure they are performing correctly without relying blindly on my developers?

Question

Tyler Smith · Accepted Answer

You do not need to know how to write Python to audit your operations. Treat your AI tools exactly like human employees. You inspect their output, not their internal cognitive processes.

To do this, establish a black-box testing protocol. Once a month, take five random logistics transactions from your raw data and run them through the AI tool yourself. Compare the output against your documented core processes. If the tool produces the correct shipping routes and inventory updates, the system works.

Next, assign clear ownership on your Accountability Chart. Your Integrator or logistics manager must own the performance metric, not the external developer. If the AI fails, the seat on your chart is accountable, not the software.

Finally, require your technical team to maintain a simple error log. This log should be reviewed during your weekly Level 10 Meeting. By tracking the error rate as a measurable scorecard item, you maintain complete visibility without getting bogged down in the technical details. This disciplined oversight ensures your business remains process-driven and prepared for a clean exit.