Gartner ThinkCast Turn AI Promises Into Measurable Business Outcomes
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Sep 30, 2025 In this insightful discussion, Mary Mesaglio, a Gartner Vice President specializing in AI strategy, and Rita Sallam, a Gartner analyst focused on generative AI, break down the elusive question of AI value. They explore the three types of AI value: ROI, ROE, and ROF, emphasizing the need for leaders to manage AI investments as a balanced portfolio. Key topics include the pitfalls of productivity leakage, the importance of AI-ready data, and the critical role of governance and training in translating investments into measurable benefits.
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Three Types Of AI Value
- AI value divides into three types: Return on Investment, Return on Employee, and Return on the Future.
- Treat AI as more than ROI to capture different organizational benefits and risks.
Productivity Leakage Limits Direct ROI
- Time saved by AI rarely converts directly to cash because of productivity leakage.
- Measure employee engagement and indirect benefits rather than assuming time savings equal financial returns.
Redesign Processes To Realize ROI
- Achieving ROI requires deep process redesign, not sprinkling AI on top of existing flows.
- Integrate AI into workflows with people who deeply understand the work and the data.