Insights

Notes from the build.

How to decide whether a process should be automated

Frequency, variance, cost of error, and who owns the exception. The scoring sheet we use in every audit.

Where each one holds up in production, where it breaks, and the point at which we move logic into code.

Confidence thresholds, review queues and what to log so a person can check the model’s work quickly.