AI Glossary · Business & Economics
ROI Model (AI ROI)
A defensible framework linking AI investment to measurable outcomes — cost avoided, revenue gained, risk reduced — with sensitivity ranges.
Definition
What is ROI Model (AI ROI)?
ROI Model (AI ROI) is a defensible framework linking AI investment to measurable outcomes — cost avoided, revenue gained, risk reduced — with sensitivity ranges.
- Category
- Business & Economics
- Glossary set
- 11 related terms
- Audience
- Enterprise AI leaders
Why does ROI Model (AI ROI) matter in enterprise AI?
ROI Model (AI ROI) matters in AI transformation because it connects technical choices to adoption, cost, margin, ROI, and executive decision-making.
Related terms in Business & Economics
- Build vs. Buy vs. Fine-tune
- The core AI portfolio decision: adopt a vendor product, build on foundation-model APIs, or invest in fine-tuned/proprietary models. Rarely a single answer per enterprise.
- Business Case (AI Business Case)
- A structured argument tying an AI initiative to measurable value, cost, risk and time-to-impact — the artifact that clears funding gates.
- BPO (Business Process Outsourcing)
- Delegating end-to-end business processes (contact center, claims, finance) to a third-party operator; increasingly restructured around AI-augmented agents.
- Cost-per-Resolution
- Fully-loaded cost to resolve one customer issue across bot, agent-assist and human channels — the honest denominator for CX AI ROI.
- KPI Instrumentation
- Wiring AI outcomes (containment, AHT, CSAT, cycle time, cost-per-resolution) into the same dashboards as human performance so ROI is defensible.
- Outcome-Based Pricing
- Vendor pricing tied to resolved tickets, closed deals or dollars recovered rather than seats or tokens — the emerging model for agentic products.