About this episode

This episode discusses measuring ROI for agentic AI systems and proposes a financial model for stakeholders.

This edition of the Weekly Dose of AI Adoption newsletter by Indy Sawhney focuses on accurately measuring the return on investment (ROI) for agentic AI systems. While several credible frameworks exist from leaders like Microsoft and Google, the author argues that they often rely on clean data inputs that most enterprises currently lack. A significant portion of the text highlights a "cost iceberg," warning that inference fees only represent a small fraction of the total expenses, while orchestration, governance, and human oversight account for the majority. To address these challenges, the author proposes a six-input floor model designed to provide a transparent and defensible financial baseline for stakeholders. Ultimately, the source serves as a strategic playbook for leaders to transition from speculative guessing to grounded, data-driven AI implementation.

People in this episode

Host: Indy Sawhney

Topics covered

• AI adoption
• ROI measurement
• agentic AI systems
• data governance
• financial modeling

Keywords

• AI adoption
• ROI
• agentic AI
• cost iceberg
• data inputs
• financial baseline
• data-driven implementation

Mentioned in this episode

Organizations: Microsoft, Google

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