Pre-workshop discovery
Before discussing models, map repeated work, data sources, ownership, and what could go wrong if the answer is bad.
- Repeated task map
- Data source
- Owner
- Risk level
OPERCEL Documentation
How to turn an AI workshop into use cases, small pilots, guardrails, data requirements, and measurable success criteria.
Before discussing models, map repeated work, data sources, ownership, and what could go wrong if the answer is bad.
A good pilot is small enough to ship quickly, real enough to measure, and safe enough for the company to test.
AI pilots should measure adoption, time-to-answer, reduced steps, and how often human review is still needed.