Technique 2.117 AI & the Brain (Change Management Readiness Checklist)
Introduction
Use this technique for leaders, project teams, and change managers preparing people for AI-enabled change.
Answer the questions below by circling ‘Yes’ or ‘No’ and if unsure, circle both, ie ‘Yes/No’.
The more ‘Yes’ answers the better you are prepared for AI; ‘No’ answers are highlighting areas for improvement.
If necessary, provide comments with your answer.
Checklist
1. Reducing Cognitive Threat
- Have we clearly explained how AI augments (not replaces) people’s work? (Yes/No)
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- Have we identified groups most at risk of feeling loss of competence or identity? (Yes/No)
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- Have we communicated future roles, skills, and opportunity pathways? (Yes/No)
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- Have we provided a psychologically safe space for questions, fears, and experimentation? (Yes/No)
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2. Managing Cognitive Load & Overwhelm
- Have we simplified the AI transition into small, manageable steps? (Yes/No)
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- Are learning modules short, spaced, and immediately useful? (Yes/No)
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- Have we reduced other competing initiatives to avoid overload? (Yes/No)
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- Do teams know exactly where to start and what to do next? (Yes/No)
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3. Supporting Identity Shift
- Have we created “skill bridges” showing how existing strengths transfer to AI-enabled work? (Yes/No)
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- Are leaders reinforcing that curiosity and learning behaviour are valued over mastery? (Yes/No)
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- Are there mentoring or peer learning structures in place (AI champions, buddy systems)? (Yes/No)
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- Have we normalised discomfort and framed it as part of growth? (Yes/No)
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4. Reinforcing Attention & Reducing Distraction
- Are communications short, clear, visual, and free from unnecessary detail? (Yes/No)
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- Do we have mechanisms to keep staff focused on the few things that matter? (Yes/No)
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- Have we built quick wins to maintain engagement and positive dopamine cycles? (Yes/No)
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- Are training resources easy to find, access, and recall? (Yes/No)
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5. Building AI Skills & Critical Thinking
- Has everyone been trained on effective prompting and AI verification skills? (Yes/No)
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- Are staff aware of automation bias and encouraged to question AI outputs? (Yes/No)
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- Do workflows include human-in-the-loop checks at appropriate points? (Yes/No)
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- Have we built simple “AI hygiene” rules (accuracy checks, responsible use, data privacy, etc)? (Yes/No)
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6. Strengthening Social Connection
- Have we designed moments for human connection (team discussions, co-creation, debriefs)? (Yes/No)
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- Are leaders modelling empathy, presence, and genuine listening during the transition? (Yes/No)
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- Do people feel their contributions matter and are visible? (Yes/No)
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- Have we created rituals (daily stand-ups, weekly reflections) that rebuild team cohesion? (Yes/No)
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7. Building Confidence & Psychological Safety
- Have leaders openly acknowledged uncertainties while providing direction? (Yes/No)
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- Are people encouraged to experiment with AI without fear of judgment? (Yes/No)
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- Do we reward learning attempts, not just outcomes? (Yes/No)
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- Is feedback invited regularly and acted upon visibly? (Yes/No)
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8. Ensuring Ethical & Responsible AI Adoption
- Have we identified risks: bias, privacy, misinformation and over-reliance? (Yes/No)
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- Is there a clear governance model for responsible use of AI tools? (Yes/No)
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- Do staff know what kinds of data can and cannot be put into AI systems? (Yes/No)
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- Are we monitoring unintended consequences on people, processes, and culture? (Yes/No)
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(main source: Michelle Gibbings, 2025o)