Under the EU AI Act and emerging global regulations, organizations are expected to demonstrate that AI systems are monitored, documented, and reviewed regularly.

What Is an AI Governance Framework?

An AI governance framework is a structured approach used by organizations to control how AI systems are designed, deployed, and monitored.

• AI system inventory
• risk classification process
• documentation requirements
• human oversight procedures
• internal accountability structure

Why SMEs Need AI Governance

Many small organizations adopt AI tools quickly without formal governance policies. While this speeds up innovation, it can create operational risks when decisions rely heavily on automated outputs.

An AI governance framework helps ensure that teams understand how AI systems affect customers, employees, and decision-making processes.

Key Components of an AI Governance Framework

AI System Register

Organizations should maintain a central inventory of all AI systems used internally or embedded within products.

Risk Assessment

Each AI system should be evaluated to determine whether it falls into a high-risk category under the EU AI Act.

Human Oversight

AI outputs should be reviewed by humans in cases where automated decisions may significantly affect individuals.

Documentation Tracking

Maintaining structured documentation allows companies to demonstrate responsible governance practices.

How Passorra Helps

The Passorra AI Compliance Toolkit provides structured templates that help startups and SMEs organize AI governance processes in one place.

Instead of building governance trackers from scratch, organizations can use a structured framework to track AI systems, risk classification, documentation, and oversight responsibilities.