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Enterprise AI Still Has A Maturity Problem

Enterprise AI deployments are failing because leaders skip governance. Here's what's actually required.

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People, judgement and the changing nature of work.AI illustration by KeyNews
The KeyNews take

Why it matters

As enterprises scale AI beyond pilots, governance and security failures are becoming the primary blocker—not model capability. This is a strategic risk conversation for boards and CTOs.

The key facts

6 to know
  1. Governance and security must be implemented from project outset, not retrofitted

  2. Enterprise AI maturity still lagging despite widespread adoption

  3. Sustained success requires proactive risk management frameworks

  4. Enterprise AI success tied to governance and security implementation

  5. Governance and security must be embedded from project inception, not added later

  6. Article frames maturity as organizational/operational challenge, not technical

Go to the source

Forbes Innovationforbes.com

Publisher excerpt: Sustained success with AI depends on enterprises strengthening governance and security by implementing both from the outset.
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