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What Optimizely Customer Zero Teaches About Agentic AI Governance

Optimizely's agentic AI deployment reveals the real constraint: not the model, but the operating model around it.

Illustration of independent geometric mechanisms passing paper tasks along branching amber tracks.
AI agents and the coordination of work.AI illustration by KeyNews
The KeyNews take

Why it matters

As enterprises move agents from pilots to production, governance and operating-model changes are emerging as the critical bottleneck—not AI capability itself. This case study surfaces what works and what breaks.

The key facts

5 to know
  1. Optimizely deployed agentic AI in marketing operations

  2. Operating model governance identified as key success factor

  3. Theory of Constraints framework applied to agentic AI deployment

  4. Case study framed around 'Customer Zero' — early production deployment

  5. Focus on constraints beyond model capability

Go to the source

Forrester Blogforrester.com

Publisher excerpt: This is the story behind writing Customer Zero Case Study: Optimizely Shows AI Success Requires Operating Model Governance. When I Went Looking For Agentic Marketing, I Found A Constraint Early in my career, my dad handed me a copy of The Goal by Eliyahu Goldratt. The book introduced me to the…
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