DEFINITION
GenAI ROI is the measurable value of generative AI initiatives after model costs, engineering effort, risk controls, and change management—not the wow-factor of a chatbot demo.
A decision frame
Pick workflows with high volume and measurable cycle time or error cost. Baseline current performance. Bound risk (PII, hallucinations, IP). Fund a production path: retrieval, eval, observability, and support—not only a prototype sprint.
Cost levers
Token usage, caching, smaller models for easy cases, human review for high-stakes outputs, and FinOps dashboards that attribute spend to product lines.
FAQ
When is a workshop better than a course?
When you have a proprietary use case and need architecture plus implementation with your engineers in the room. Courses build capability; workshops ship a scoped system.
Expert
Rajeev Chandran — Founder & Curriculum Architect, Deepskilling. Designs practice-first AI, cloud, and systems programmes—from RAG and GPU labs to executive GenAI decision frameworks.