How Does Your AI Governance Strategy Stack Up?
Drawing on survey data from 100 senior AI and data leaders, the 2025 AI Governance Benchmark Report examines the growing gap between AI investment and production outcomes. It highlights trends in generative AI adoption, governance maturity, assurance practices, and cross-functional ownership—offering a roadmap for accelerating time-to-value through scalable, responsible AI governance.
Key Findings at a Glance:
- 80% of enterprises have 50+ generative AI use cases in the pipeline, but most have only a few in production. The ideas are flowing—but execution is still catching up.
- 56% say it takes 6–18 months to move a genAI project from intake to production. Faster deployment is possible—but it starts with better governance.
- 44% say the governance process is too slow; 24% say it’s overwhelming. Streamlining intake and ownership could unlock serious momentum.
- 58% of leaders cite disconnected systems as a top blocker. There’s a clear opportunity to standardize and scale more efficiently.
- Only 14% enforce AI assurance at the enterprise level. Scaling these practices could reduce risk and accelerate adoption.
