Useful examples
Translate AI into relevant role-based workflows.
AI Adoption
AI Adoption Champions & Train-the-Trainer Cohort
Build internal champions who can help colleagues use approved AI effectively, recognize unmanaged-risk patterns and know when a question should be escalated.
Champion role
Champions support adoption without becoming enforcement officers
The cohort focuses on practical enablement, boundaries and escalation.
Approved pathways
Help colleagues understand which institutional tools and environments are appropriate.
Shadow AI signals
Recognize patterns that may expose research, IP or sensitive information without turning champions into investigators.
Model limitations
Teach people to verify outputs and recognize jurisdictional or contextual mismatch.
Escalation
Know when to involve IT, privacy, security, research, legal or management.
Reuse
Create internal examples, FAQs and learning assets that improve over time.
Learning flow
Build a capability that can reproduce itself
The cohort is designed to leave the organization with an internal enablement network.
Prepare
Define champion roles and boundaries.
Learn
Build common AI and governance understanding.
Practice
Use representative organizational scenarios.
Multiply
Create repeatable internal learning and escalation pathways.
Continue the journey