Scaling AI in the enterprise takes more than a successful pilot.
A use case can demonstrate a return while the wider business carries the cost. Agents can enter production before anyone agrees who owns them. Faster delivery can leave teams with less time to understand what they are putting into service.
For CIOs, these are the decisions that determine whether AI investment delivers lasting value.
At the 45th CIO Insight Summit in Atlanta, 94 executives came together to compare experiences and explore what scaling AI in the enterprise demands of their technology, teams and leadership.
This report brings together their keynote perspectives and Mission Track discussions, examining how organizations can measure AI ROI, strengthen governance and sustain progress after deployment.
Inside the report
- Proving AI’s business value: Assessing shared costs, measuring benefits after launch and deciding which use cases deserve further investment.
- Building an AI operating model: Giving teams clear ownership and a route from experimentation to reliable services.
- Making enterprise AI governance work: Understanding what agents can access, tracing their actions and retaining the ability to intervene.
- Strengthening operational resilience: Testing dependencies, monitoring performance and preparing to recover when something fails.
Perspectives from leaders doing the work
Explore insights from speakers at Verizon, Box, New York Power Authority, Cambium Learning and other organizations, alongside peer discussions on technology investment, product ownership and resilience.
Their experiences reveal the work behind scaling AI: the choices, trade-offs and responsibilities that continue long after a capability goes live.
Download the report to explore how CIOs are approaching that work and the questions worth bringing into your next leadership conversation.
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