Measuring ROI for AI tools requires full production costs
Calculating return on investment for generative AI isn't just about how much time you save in a pilot. You also need to account for the ongoing costs—system maintenance, governance, and retraining—once the tool is in real-world use. The real value comes from tracking how these tools affect business workflows such as customer support or claims processing, using metrics like response times or resolution rates. Strong AI deployments connect regular tool use to these specific, measurable business outcomes.
- ROI must include build, run, and governance costs
- Baseline performance before introducing AI
- Track value using workflow and business metrics
- Monitor ongoing costs like retraining and policy updates
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