Most teams can’t even list the AI tools they’ve deployed. That’s the problem.

Prompt injection.
Hallucinated outputs.
Leaked IP.
It’s not the models, it’s the lack of visibility.

AI governance isn’t a boardroom initiative.
It’s a delivery architecture problem.

If your team can’t:
• Trace model outputs
• Track prompts and feedback
• Audit what’s shipped into production

You’re not in control.
You’re improvising.

Only 17% of orgs report having AI controls in place.
And those that do?
They treat delivery and governance as one system.

Want to make AI safe, fast, and repeatable?
Fix the visibility gap.