OPERCEL Documentation

AI workshop playbook for businesses

How to turn an AI workshop into use cases, small pilots, guardrails, data requirements, and measurable success criteria.

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

Pilot selection

A good pilot is small enough to ship quickly, real enough to measure, and safe enough for the company to test.

  • Small scope
  • Real data
  • Guardrail
  • Human review

Measurement

AI pilots should measure adoption, time-to-answer, reduced steps, and how often human review is still needed.

  • Adoption
  • Time saved
  • Error review
  • Next iteration