Change Management
The structured approach to transitioning individuals, teams, and organisations to a desired future state. Critical for AI adoption where people's roles and processes change.
In-Depth Explanation
Change management prepares, supports, and helps individuals adopt changes in business processes or technology. For AI projects, effective change management often determines success or failure.
Change management frameworks:
- ADKAR: Awareness, Desire, Knowledge, Ability, Reinforcement
- Kotter's 8 Steps: Creating urgency through anchoring change
- Prosci: Research-based methodology with certification
- Lean Change: Agile approach to change
AI change management challenges:
- Fear of job displacement
- Distrust of AI decisions
- Learning new workflows
- Changing success metrics
- Role evolution vs elimination
Key change activities:
- Stakeholder analysis and engagement
- Communication planning
- Training and capability building
- Resistance management
- Success celebration and reinforcement
Business Context
70% of change initiatives fail, often due to people issues, not technology. AI projects face additional challenges around trust, job security, and skill changes.
How Clever Ops Uses This
We include change management in Australian business AI implementations, ensuring technology adoption translates to actual business value.
Example Use Case
"Rolling out AI-assisted customer service: starting with champions, demonstrating how AI helps (not replaces), training on new workflows, and celebrating early wins."