Webinar
The AI ROI Playbook: Turning Programs into Payoffs
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Measure What Matters: The Real ROI of AI
AI investment is accelerating, but for many organizations the gap between AI adoption and measurable business value is becoming harder to ignore. Usage is growing, new tools are being deployed, and experimentation is expanding, yet metrics such as tokens consumed, prompts generated, and users activated reveal little about whether AI is improving productivity, quality, speed, cost or revenue. Large programs can take quarters to prove their worth, and by then the business case has often changed. Technology and engineering leaders need a clearer way to connect AI spend to real outcomes.
Topics Covered
- Why activity metrics such as tokens consumed, prompts generated and users activated say little about the real business impact of AI.
- How small, AI-accelerated projects that ship in weeks can prove value continuously, and the real cost of delay in program-scale delivery.
- How to measure ROI at the project level and connect engineering performance gains to outcomes of the wider business values.
- The project criteria, governance, and measurement needed to turn successful experiments into repeatable outcomes that scale across the enterprise.
The Webinar Panel
Janakiraman Jayachandran
Global Head of Software & Technology, Aspire Systems
Jothi Rengarajan
AI-led Software Engineering Practice Head, Aspire Systems
Santhosh A Neyyar
Head of Agentic AI Platform Engineering, WEX
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