"Many agencies have defaulted to blanket governance models that treat all AI use cases with the same level of scrutiny. This lack of nuance creates a bottleneck for minimal-risk projects that could deliver immediate value, yet it simultaneously provides insufficient guardrails for high-risk mission-critical systems.” 

At CGI, we believe governance is the defining factor in successful AI adoption across state and local government. Not because it slows innovation, but because it enables it. The most effective governance frameworks align oversight with risk, providing the flexibility to accelerate lower-risk initiatives while applying greater controls where the potential impact is highest. When leaders have confidence that AI is transparent, accountable, and supported by appropriate human oversight, trust grows, adoption accelerates, and AI becomes a scalable capability rather than a series of isolated experiments.

Access this research by Gartner® to uncover four common areas that public sector organizations need to address to build an effective AI strategy and ecosystem approach:  

  • Failing to Contract for AI as Evolving Assets
  • Talent Gaps Beyond Platform Use
  • Governance as an Afterthought
  • Fragmented or Shallow Roadmaps

To download the report, fill out the form below:

Gartner, What Public Sector Leaders Are Getting Wrong About AI: And What They Must Do Now, Michael McFerron, George Sellner, Tony Sheehan, Albert Gauthier, Dean Lacheca, Lydia Clougherty Jones, 16 April 2026.

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