A simple framework to connect an AI agent to cost, revenue and margin—before you buy and after you launch.
The short answer
AI agent ROI = (hours saved × loaded hourly cost + revenue gained + errors avoided) − (build + running costs). Define the baseline before launch so the comparison is honest.
Key takeaways
Measure how long the workflow takes today, how often it runs and what errors cost. Without a baseline, ROI is guesswork.
Time saved is the obvious one. Faster quotes, fewer missed follow-ups and more products launched often matter more.
Tie the agent to a business goal—cost, revenue or margin. Switch builds a business case for each first agent before agreeing scope and price.
Many scoped agents aim to pay back within months; it depends on volume.
Usually it's more accurate to count redeployed time on higher-value work.
How this guide was made
Written and reviewed by our editors against vendor documentation, public regulation texts and practitioner interviews. We update guides when products or rules change. Tools mentioned may have a commercial relationship with this site; this never decides what we recommend.
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