Enterprise AI Still Has A Maturity Problem
Enterprise AI deployments are failing because leaders skip governance. Here's what's actually required.

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 knowGovernance and security must be implemented from project outset, not retrofitted
Enterprise AI maturity still lagging despite widespread adoption
Sustained success requires proactive risk management frameworks
Enterprise AI success tied to governance and security implementation
Governance and security must be embedded from project inception, not added later
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.