Ensure Measurable ROI for AI Investments
AI is widely seen as a driver of business value, but are you seeing the return? This Gartner® report explains what it takes to measure, manage, and prove the value of AI.
AI Changes the Economics of Technology
While 91% of corporate board members view AI as an opportunity to drive shareholder value, 75% of CIOs report that current AI implementation costs outweigh the realized benefits.
The Gartner report “Driving AI ROI: How to Track, Manage, and Demonstrate the ROI of AI Investments” explains that rapidly deploying AI results in unpredictable cost, risk, and value.
Traditional IT financial management was designed for predictable systems. AI is fundamentally different. Read the report to find out why relying on legacy financial models exposes you to operating costs that can exceed the value AI generates.
A New Approach: AI-Specific Financial Management
By 2028, 70% of AI initiatives will be decommissioned due to unmanaged cost explosions and value drift in organizations lacking a dedicated AI financial management practice, according to Gartner.
To manage AI effectively, you need to adopt a financial model built for AI’s unpredictability.
Gartner defines AI-specific financial management as a discipline for continuously tracking the cost, value, and risk of nondeterministic AI systems. Unlike predictable software, AI requires continuous monitoring of the cost, value, and risks, per successful outcome to prevent value erosion.
The Hidden Risk: Value Drift
AI systems don’t just fail. They quietly lose value over time.
A model may continue to perform well technically while becoming financially unviable due to rising costs or changing conditions. Without continuous monitoring, you risk scaling systems that erode value instead of creating it.
Organizations that realize AI ROI take a disciplined approach. Find out more by reading the report.
Measure What Matters
Traditional metrics alone aren’t enough to measure ROI. The report explains what it takes to ensure value from AI investments.
Find out how to:
- Track AI cost, risk, and value across the full AI lifecycle.
- Replace static ROI models with dynamic financial management.
- Prevent value drift and control rising costs.
- Measure AI success with metrics that matter.
Track AI cost, risk, and value across the full AI lifecycle.Get the insights you need to turn AI investments into measurable business outcomes.
Get Report and Prove AI ROI
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Gartner®, “Driving AI ROI: How to Track, Manage, and Demonstrate the ROI of AI Investments,” Andrei Razvan Sachelarescu, 3 March 2026.
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