Measuring ROI on Agentic AI Investments
Rob C.
Principal Editor
If you cannot defend the number, you do not have the ROI. A defensible ROI on agentic AI has three components.
1. Baseline
Measure the cost or revenue of the workflow before the agent. Without a baseline, every saving is fictional.
2. Attribution
Isolate the agent's contribution from concurrent changes (process redesign, headcount, seasonality). A controlled pilot is the cleanest way.
3. Total cost of ownership
Include model cost, orchestration, governance overhead, and the human-in-the-loop time. The agent's licence fee is rarely the largest line item.
Report the range, not the point estimate. Honest ROI is an interval; single numbers invite scepticism.
The Three-Layer ROI Test - from Activity to Option value
Activity metrics (tasks automated, hours saved) are vanity. Outcome metrics (cycle time, conversion, cost-to-serve) are defensible. Option value - the capability unlocked for the next bet, this is where durable advantage compounds.
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