AI's Elusive ROI: How to Track, Manage and Demonstrate Value

• Leverage the AI financial management architecture maturity model to evolve financial management capabilities as AI investments scale

• Translate AI technical telemetry into executive metrics that demonstrate business value and ROI

• Establish a cross-functional center of excellence (CoE) that brings together enterprise architecture, finance and AI expertise

Executive expectations for AI remain high, yet many organizations continue to struggle to translate AI investments into measurable business outcomes. Traditional IT financial management approaches were designed for predictable technology costs and often fall short when applied to AI's evolving cost structures, variable consumption patterns and risk of value drift. Heads of enterprise architecture (EA) are increasingly expected to bridge this gap between AI ambition and realized business value

Join a Gartner analyst and explore an AI-specific financial management approach that helps organizations govern AI investments throughout their lifecycle. Learn how to define testable value hypotheses, prioritize investments, implement financial guardrails and monitor outcomes as AI portfolios scale. Gain practical guidance on building a cross-functional COE and maturing the financial architecture needed to improve visibility, accountability and ROI across AI initiatives.

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