David KrHow Enterprises Measure ROI from Custom AI Model Development
Enterprises don’t realize ROI from AI because models are impressive in demos. ROI appears when custom generative AI models are trained to operate inside real workflows, policies, and constraints. Measurable returns come from accuracy gains, reduced review effort, faster cycle times, and predictable compute costs. Organizations that treat generative AI as a living system—continuously tuned, governed, and benchmarked—see compounding value over time, while static deployments quietly lose efficiency and trust.
