Many AI projects fail not because of technology, but because governance is missing. Roles are unclear, responsibilities scattered and there is no structured process for escalation, monitoring or risk oversight.

AI Governance provides clarity. It brings structure, accountability and transparency to AI decision-making.

What Is AI Governance?

AI Governance refers to the organisational structures, roles, processes, documentation and oversight mechanisms that ensure AI systems are used responsibly, safely and in line with legal and ethical expectations.

Key Governance Roles

How to Structure Decision-Making

Governance & the EU AI Act

The AI Act requires risk management, documentation, transparency, human oversight and monitoring. Good governance connects these requirements into one coherent and sustainable organisational framework.

Why Governance Matters

Without governance, AI becomes opaque, unpredictable and risky. With governance, organisations create transparency, fairness and trust — essential for public value and compliance.