APPROACH
The AI-M Enablement Framework
From AI access to AI adoption.
AI adoption is not a training event. It is a change process.
Our framework begins with the work, not the technology. We analyze how people operate, identify meaningful opportunities for AI, design the right interventions, support implementation, and continuously improve the system through evaluation and feedback.
The loop always returns to Analyse. Enablement is never a one-time event.
1. Analyse
Understand organizational goals, role goals, workflows, technology, constraints and current AI usage.
2. Map
Identify where AI can create value, what should remain human, where friction exists, and what risks matter.
3. Design
Design role-specific AI-enabled workflows, use cases, guardrails and enablement interventions.
4. Enable
Build the capability people need through targeted training, workshops, coaching and hands-on practice.
5. Implement
Support people in moving from designed workflows to real behavior — configuring, deploying and troubleshooting.
6. Evaluate
Measure adoption, usage, confidence, workflow effectiveness and friction.
7. Feedback
Capture what people use, what works, and what they need next.
8. Adapt
Feed the feedback back into the framework — then the loop begins again at Analyse.