Enterprise AI adoption has outpaced enterprise AI governance by several years. Teams across data science, product, marketing, and ops are connecting to AI APIs faster than central IT or legal can evaluate them.

The result is shadow AI: usage the organisation doesn’t know about, hasn’t approved, and cannot audit.

The scale

A Deloitte survey (2024) found the average Fortune 500 is running 47 parallel AI initiatives. Most have no central registry of what those initiatives are, what data they’re using, or what outputs they’re producing.

The compliance exposure

• GDPR requires knowing what personal data AI systems process and why.
• EU AI Act (2024) introduces mandatory governance for high-risk AI systems.
• SR 11-7 in financial services increasingly covers AI models.

What Aegis does

Aegis is our governance accelerator. It gives enterprises complete visibility over AI usage, structured controls for approval and oversight, and a comprehensive audit record. Each business unit operates within its own isolated environment. Leadership sees the full picture.

The question to ask your team: If a regulator asked you tomorrow to produce a record of every AI interaction that touched customer data in the last 90 days — could you?