Most teams can't even list the AI tools they've deployed.

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.
Written by
Thomas Nys
Fractional Data Architect helping startups and scaleups build data platforms that scale.
More about Thomas Nys →