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AI
Champion.
Support AI transformation through shared understanding, local learning and human–AI collaboration. Explore the proposed two-day AI Champion outline and its connection to the six dimensions.
2 days · Proposed programme outline
TAKE THE NEXT STEP
Who this route is for
AI champions, team leads, subject-matter experts and people helping colleagues understand and adopt AI in everyday work.
DURATION
2 days
PROPOSED PRACTICAL OUTPUT
Champion field plan
Proposed programme outline
Go a little deeper.
A connected curriculum built around the work this role needs to do. Module scope and activities are a draft for programme design.
MODULE 01
AIDIVE essentials
connect business priorities, readiness and the AI maturity journey.
MODULE 02
Recognizing a meaningful opportunity
start from work, decisions and user needs before selecting a tool.
MODULE 03
Evidence across six dimensions
ask useful questions and distinguish observations from assumptions.
MODULE 04
Human–AI collaboration
roles, adoption, trust, action boundaries and escalation.
MODULE 05
Champion and steward collaboration
support peers, surface weak signals and connect questions with the right owner.
MODULE 06
Learning through practice
shape a small experiment, collect feedback and communicate what changed.
Bring the learning into a practical artifact.
A PROPOSED LEARNING DELIVERABLE
Champion field plan
Draft champion field plan with a workflow opportunity card, readiness observations, a stakeholder map, a learning activity and a feedback route.
Draft assessment principles
Evidence of learning should show how a participant reasons and applies the framework in context. Suggested review questions:
Describe a real workflow need and support readiness observations with examples.
Explain the champion role, its limits and the route for a question or concern.
Design a useful learning activity and show how feedback would reach an accountable owner.
Where the learning can lead
Apply the learning with a local team and deepen selected framework topics. AI Transformation Strategist is an optional next step for those taking on wider design responsibilities.
Proposed programme outline. A peer-reviewed field plan and a clear explanation of role boundaries are draft proof expectations, not published certificate eligibility rules.
LEARN. CONTRIBUTE. APPLY.
Make this learning route
work for you.
Discuss the outline, explore learning for your team and choose an appropriate starting point.
TRAINING & CERTIFICATION
Build the capability.
Plan learning around your role, the outcomes you want and the capability you need to build.
PARTNER WITH AIDIVE
Grow the practice.
Bring your learning, delivery or research expertise to the holistic AIDIVE approach to enterprise AI transformation.
AIDIVE PLATFORM
Bring AIDIVE into your work.
See how the proposed workspace could connect AI transformation learning, maturity evidence and practical artifacts.
CONNECT THE DOTS