$100M revenue can't justify $1B in expected AI loss.

AI risk appetite is your hard line. It forces honest math:

Start with the reward.

Then set limits you can defend.

Include real loss drivers:

-> Regulatory fines

-> Breach costs, downtime, and legal fees

-> IP leakage and model training on your data

Then you can approve tools with confidence.

And pick controls worth the cost.