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AI Governance Can't Be an Afterthought

 

Why a Fortune 500 Company Killed Their AI Project 3 Weeks Before Launch

Last month, a Fortune 500 company killed an AI project three weeks before launch.

The AI worked great. Models were accurate, pipeline was fast, demos impressed everyone.

They killed it because Legal couldn't answer one question: "If this AI makes a mistake, who's accountable?"

The Pattern I Keep Seeing

- Month 1-6: Build the AI system. Governance is "we'll figure that out later."

- Month 7: Demo to stakeholders. Everyone's excited.

- Month 8: Legal review. Compliance review. Security review.

- Month 9: "Where's the audit trail?" "Who approved this model?" "What happens if it's wrong?"

- Month 10: Project delayed indefinitely.

According to Deloitte, 62% of enterprise AI projects experience significant delays during compliance review. Average delay: 4.3 months.

The Five Pillars

Governance means answering these questions:

1. Explainability - Why did the AI make this decision?

2. Accountability - Who is responsible?

3. Auditability - Can we prove what happened?

4. Controllability - Can we intervene when needed?

5. Fairness - Is the AI treating everyone equitably?

The tragedy is that governance isn't hard—if you design for it from the start. Retrofitting it afterward is where projects die.

[Read the full article →](https://aictrlnet.com/blog/2026/01/ai-governance-not-afterthought/)

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