MCCM Wiki
AI training that sticks in operations
AI training sticks when every session ends with a changed workflow owner, a prompt or automation in production use, and a review date. Theory-only workshops fade in weeks.
Teams do not fail because they lack curiosity. They fail because daily work still runs on the old path. MCCM pairs skills training with implementation into one real process.
Design the engagement around one process
- Pick a painful, frequent task (reporting, intake, document triage, first-draft analysis).
- Train the people who own that task, not a random cross-section of the company.
- Ship a usable prompt workflow in the same engagement: templates, checks, handoff rules.
- Measure time saved or error rate after two to four weeks.
What to avoid
Avoid tool tourism, open-ended "prompt gymnastics," and training without access to real company data (under controlled privacy rules). Those create demos, not habits.
Related MCCM terms
See generative AI, GDPR-safe AI workflows, and AI audit.