Executive Summary
Enterprises are moving from experimentation to operational AI. The gap between leaders and laggards is now measured not in whether AI is used, but in how deeply it is embedded into daily workflows.
Leaders deploy AI as a workforce, not a feature. They orchestrate multiple specialized agents across functions, govern them centrally, and measure outcomes continuously.
Key Findings
- •71% of surveyed organizations have at least one AI workflow in production, up from 43% a year ago.
- •Only 18% have a formal AI governance framework, creating growing operational risk.
- •Organizations with managed AI operations report 3.2x faster time-to-value.
The Transformation Index
We score organizations across four dimensions: Strategy, Workflow Intelligence, Governance, and Scale. The composite score predicts readiness to compound AI advantage.
What Leaders Do Differently
- 1.They treat AI operations as a discipline, with dedicated ownership.
- 2.They instrument every workflow with measurable outcomes.
- 3.They invest in governance before scale, not after.
The winners are not those with the most models — they are those with the most disciplined operations.