What’s happening?

Teams hesitate to use AI because they don’t know what’s allowed. Without clear policies, they default to avoiding AI altogether rather than risk non-compliance. The result? AI use stalls, and workarounds emerge that may be inefficient or even riskier than direct AI use.

A lawyer’s clerk drowns in paperwork. Case summaries, contracts, research... AI could help, but no one knows if it’s allowed. Without clear policies, they avoid AI, fearing compliance risks.

How to Spot This in Your Team

🔎 How to spot it

Check off the signs you’ve seen to get your next move:

People say:

Other signs:

AI Hesitation Profile Finder

🅰 What’s happening?

AI is an option, but hesitation takes over. The risk of getting it wrong feels bigger than the reward of getting it right.

7 | Your Hesitation Profile

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What's driving them?

[Short explanation]

Try today:

[Tactical action to take immediately]

Quick wins – Pick one & take action!

Quick wins

Choose one quick win to start breaking the “wait and see” cycle.

📍 For Leaders & Compliance Teams

Most AI policies sit unread. If teams don’t know the rules, they won’t follow them.

  1. Make AI rules clear and usable:

    • ✅ Always – AI is fully approved (e.g., summarising internal docs).
    • ⚠️ Confirm – AI use needs approval (e.g., AI-generated customer emails).
    • ❌ Turn off – AI is not allowed (e.g., AI handling personal or financial data).
  2. Put it where work happens:

    • • Pin it in Slack, Notion, or SharePoint.
    • • Add a reminder in AI tools (pop-ups, checkboxes before use).
  3. Drop a message in team chats:

    Copy & paste this into Slack, Teams, or where you chat: "Good news - AI is officially approved for [X]. Just check first for [Y], and avoid [Z]. Full list here: [Link]. If unsure, ask before using!"

  4. Action: Write a one-page ACT guide and share it today.

📍 For Executives & Senior Leaders

If leadership isn’t aligned, teams get mixed signals.

  1. Run an “AI decision sprint” with leadership:

    • Use real examples: “Would we allow AI-generated financial reports? Why or why not?”
    • Define who approves AI tools and who owns AI oversight.
  2. Make AI messaging consistent:

    • Agree on what leaders should say when asked about AI.
    • Set up an “AI Q&A” Slack channel for fast answers.
  3. Meeting invite template:

    "AI adoption is stalling because teams don’t know what’s allowed. Let’s get clear. Join me for 60 mins to align on AI do’s and don’ts. No strategy fluff - just practical answers. [Insert time & link]"

  4. Action: Book a 60-minute AI alignment sprint with key leaders this week.

📍 For Teams & Individuals

People don’t fear AI - they fear getting it wrong. Give them a zero-risk way to try AI.

  1. Set up a “Safe AI test” (2-week trial):

    • Pick one AI tool to test (e.g., ChatGPT for email drafts).
    • Set a clear challenge: “Use AI to summarise three meetings.”
    • Make double sure the uses of AI is clear to build trust.
    • No penalties - just share what worked (and what didn’t).
  2. Make it easy to participate:

    Drop this into Slack, Teams or where you chat: "AI Test Drive: Let’s try AI for [task]. No risk, no pressure - just a test. After 2 weeks, we’ll check in. Join in: [Link]"

  3. Action: Pick an AI task and launch a 2-week test drive with your team.

📍 For Teams & Compliance

Unclear policies create hesitation. Trust signals create confidence.

  1. Make AI decisions transparent:

    • AI-generated content should explain why it made a choice: "This summary is based on [X, Y, Z]."
    • Add confidence scores: "AI certainty: 92%."
  2. Teach teams how to review AI output:

    • ✅ Good AI use: Summarising reports.
    • ❌ Bad AI use: Copy-pasting AI without checking.
  3. Prompt to add inside AI tools:

    "👀 Double-check before using: Did AI capture the key points? If not, tweak and improve!"

  4. Action: Add AI transparency reminders inside tools or workflows.


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