What is Return on AI (ROAI)?
Return on AI (ROAI) — The financial and operational value generated by an AI initiative compared to its implementation costs.
ROAI measures the financial and operational value of AI investments compared to their costs. Unlike traditional ROI, ROAI must account for ongoing compute costs, model maintenance, data pipeline operations, and the organizational change management required for AI adoption.
Frequently Asked Questions
How do I calculate ROAI?
Total value generated (cost savings + revenue gains + productivity improvements) minus total costs (compute, data, development, maintenance, training). Measure over 12-24 months for realistic results.
What is a good ROAI target?
Most successful AI projects achieve 3-10x returns within 18 months. Start with high-volume, clearly measurable use cases to demonstrate value before tackling harder-to-quantify projects.
Why do many AI projects fail to show ROI?
Common causes: solving the wrong problem, poor data quality, underestimating maintenance costs, no clear success metrics, and trying to build custom solutions when API-based approaches would suffice.