Track behaviour over time
Notice when a model starts producing different advice than it used to.
AI governance
Catch a model changing before your clients do.
An early signal when an AI model’s behaviour shifts from its approved baseline.
What it does.
Early warning
Get flagged when behaviour moves outside expected bounds, not after the complaints arrive.
A record of change
Keep evidence of when a model drifted and what you did about it.
Why it matters
Models do not stay put. An AI model that was fine at launch can drift as the world around it changes. Detecting that early is the difference between a tweak and a remediation exercise.