ILIAD3

AI Strategy, Risk & Governance Consultancy

When AI becomes mission-critical,
governance becomes business-critical.

25%
of businesses have fully implemented AI governance1

The Governance Gap

Enterprise AI adoption has outpaced risk frameworks. While boards demand AI transformation, they're blindsided by reputational damage, regulatory sanctions, and operational failures.

Shadow AI projects proliferate. Compliance teams scramble. Strategy disconnects from reality. The solution isn't more policies—it's intelligent governance that accelerates innovation while managing risk.

Leadership

Anthony Aarons

AI Risk & Strategy

CEO perspective on risks within AI systems and architectures. Specialises in risk quantification and board-level AI risk threshold frameworks.

Louise Hooper

AI Regulatory Compliance

Navigate EU AI Act, UK AI Framework, and emerging global standards. Translates regulatory complexity into competitive advantage.

Troy Norcross

AI Strategy & Transformation

Bridges C-suite ambition with operational reality. Architects AI governance that enables velocity, not bureaucracy.

Beyond Checkbox Compliance

The AI governance paradox: Move fast and break things worked for social media. For enterprise AI, that philosophy breaks laws, trust, and careers. We're watching a real-time experiment in ungoverned AI. Rogue models making million-dollar procurement decisions. Black-box algorithms triggering regulatory investigations. Shadow AI projects spawning faster than IT can say "compliance violation."

Here's what the winners know: In the attention economy, data was oil. In the AI economy, trust is uranium. Massively powerful, incredibly volatile, and absolutely unforgiving if mishandled. The leaders building sustainable AI advantage have stopped racing to deploy every model. They're architecting trust infrastructure that turns every algorithm into an asset, never a liability. Call it governance physics. The new rules of operational reality.

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