Desire Waterman

Thanks everyone for the support on Grayscale !

It s been 7 days since launch, and I m really grateful for the upvotes, follows, and feedback so far.

One thing I've noticed is that people often look for an "AI governance tool" as if governance is a single category.

In practice, it usually looks more like a stack. Different controls solve different problems, and most teams end up combining several of them as AI agents move from experiments into production.

1. Model Monitoring

This is the layer that helps teams understand how AI systems behave over time. Performance drift, unusual activity, reliability issues, and changing usage patterns tend to show up here first.