Building Your AI Governance Team

Many organizations make the mistake of treating AI Act compliance as purely a legal or compliance function. In reality, effective governance requires input from across the organization.

Key Roles:

AI Product Owners understand the business context and use cases. They can explain what the AI does and why.

ML Engineers know the technical details - model architecture, training processes, and system limitations.

Legal and Compliance teams interpret regulatory requirements and assess legal risk.

Data Teams manage data governance, quality, and provenance documentation.

Operations ensures human oversight procedures are practical and actually followed.

The most successful governance programs create cross-functional working groups rather than siloed responsibilities.