Building AI Confidence Across Your Team

You've started experimenting with AI tools. Maybe you've even seen some success. But not everyone on your team is convinced.

That's normal. When new tech enters the workplace, excitement and hesitation often go hand in hand. Here's how to help build AI confidence across your organisation—without pressure or jargon.

  1. Create a Safe Space to Explore

    • Host a "curiosity session" where team members can try AI tools with no expectations. Show a few practical examples (drafting an email, summarising a meeting) and let people play.

    • Tip: Use light-hearted tasks first (e.g. "write a limerick about our office dog") to break the ice.

  2. Choose Tools That Are Easy to Learn

    • Start with AI features built into tools your team already uses: Gmail Smart Reply, Microsoft 365 Copilot, Notion AI. Avoid jumping straight into more technical platforms.

    • Tip: Pick one workflow and walk through it together.

  3. Share Success Stories Internally

    • If someone uses AI to save time or solve a problem, highlight it in your next team meeting. Real-world examples from colleagues are more powerful than outside case studies.

    • Tip: Frame it as "look what we made possible" not "why aren't you doing this yet?"

  4. Offer Short, Practical Training

    • Skip the theory. A 20-minute "lunch and learn" showing how to draft an agenda or translate a message is more impactful than a big formal workshop.

    • Tip: Invite questions and let people test live with their own work.

  5. Normalize Experimentation and Feedback

    • Not every use case will work. That’s okay. Make it clear that exploring AI is a shared experiment, not a top-down mandate.

    • Tip: Celebrate learning just as much as results.



In Closing

Confidence comes with practice. The more your team sees AI as a tool to help—not replace or judge them—the more creative and effective their use will become.

Want a tailored workshop to get your team started? I offer short sessions designed to help non-technical teams explore AI with confidence.

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