AI ROI

AI ROI is the measurable financial return on an AI investment, calculated as the value generated (cost savings, revenue uplift, risk reduction) net of total cost of ownership.

What is AI ROI?

AI ROI calculations should include build cost, operate cost (model APIs, infrastructure, monitoring, retraining), governance cost (documentation, audit, risk), opportunity cost, and the value side (FTE redeployment, cycle time reduction, error rate reduction, compliance fines avoided). Honest ROI work shows ranges, not point estimates, and tracks the actual outcome against the original case at six and twelve months.

How does AI ROI apply to enterprise AI?

Buyers should require an ROI hypothesis at the end of discovery, with a re-measurement plan in production. Vendors that refuse to commit to outcome metrics are usually selling hours rather than results.