AI ROI
Also known as: AI return on investment, AI payback
Definition
AI ROI compares the value created by an AI-enabled workflow against the full cost of building and running it. Useful ROI models include time saved, cycle-time improvement, quality improvement, revenue response, cost avoidance, adoption, and support costs.
Do not count vague productivity optimism as ROI. Count operating changes the business can review after launch.
The most useful ROI model is conservative enough to survive the first 90 days.
Related terms
- AI Opportunity Score — A score that ranks AI workflow opportunity, readiness, governance needs, and likely next service path.
Where this gets applied
- Unit Economics — CAC payback, NRR, gross margin by segment, cohort analysis, paid-on-bookings vs. paid-on-cash.
- Financial Infrastructure — ARR waterfalls, deferred-revenue rules, board-pack standardization, FP&A architecture.