Strategy
AI ROI
AI ROI is the measurable business outcome (revenue, cost reduction, cycle time, error rate, customer satisfaction) attributable to an AI deployment, divided by the total cost of that deployment over a defined period — typically 12–36 months.
Realistic AI ROI projections include implementation costs, ongoing API/inference costs, retraining, monitoring, and the hidden cost of process redesign and change management.
Related terms
- AI Strategy — An AI strategy is a written plan that identifies which workflows AI will replace or augment, what business outcomes that will produce, what investment is required, and what governance and risk controls apply.
- Total Cost of AI — Total cost of AI (TCAI) is the full cost of an AI deployment over its operating lifetime, including inference fees, model fine-tuning, monitoring infrastructure, data pipeline maintenance, process redesign, training the human workforce, and vendor markup on top of underlying model costs.