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How CIOs should assess AI readiness across IT leaders to enable enterprise AI scale

AI stalls in the handoffs between your IT teams

17% of organizations are classified as having high AI maturity. Pilots are everywhere. Scale is rare.

This Gartner® research finds explores that AI execution fails between IT functions, in the decisions, handoffs, and dependencies that span software engineering, enterprise architecture, infrastructure and operations, data and analytics, and security. Each function advances on its own timeline. The slowest one sets the ceiling.

That makes uneven progress the real constraint. Decisions about data access, risk thresholds, and cost ownership sit between functions, so they land on the CIO's desk as escalations.

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Inside this research we believe you will find:

  • Four readiness dimensions with clear ready-to-scale signals
  • A worksheet defining what evidence to request from every functional leader
  • Four questions to put to each IT leader about where they slow AI down
  • A model for prioritizing two to three coordinated interventions
  • Six measures of progress, including escalation volume and pilot-to-production conversion
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Gartner ®, How CIOs Should Assess AI Readiness Across IT Leaders to Enable Enterprise AI Scale, Vimarsh Bakaya, Eyad Tachwali, Matthew Colletti, Neal Solanki, 18 June 2026
 
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