AI Lunch Questions: How Leaders Can Talk With Developers, DBAs, and PMs

Use these questions to align on AI strategy, avoid misunderstandings, and unlock internal innovation.

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Before your next AI project kicks off, pause. Sit down with your team—not just your tech team, but your whole team. Ask the right questions. Listen carefully. What you learn over lunch may be the most important step toward a successful, secure AI rollout.

This infographic gives CIOs, developers, DBAs, and project managers a ready-to-use conversation guide for cross-functional alignment. Treat it like a cheat sheet or meeting primer for your next AI planning session.

🍽️ AI Lunch Questions by Role

👔 Executives (CIOs, CTOs, Department Heads)

Ask your developers:

  • “Where do you think AI could help us first without disrupting stability?”
  • “What systems are most AI-friendly as-is?”
  • “What’s technically hard about some of the AI ideas we’ve discussed in leadership?”

💻 Developers

Ask your business leaders:

  • “What pain points are you hearing from users that AI might help with?”
  • “What kinds of decisions do you wish could be automated or augmented?”
  • “Where do you see us needing AI explainability or transparency?”

🗄️ DBAs & Data Teams

Ask the whole team:

  • “What data do we already collect that’s underused?”
  • “Are we storing this data in ways that support AI use?”
  • “How can we keep sensitive data secure while experimenting?”

📅 Project Managers

Ask stakeholders:

  • “Where can we pilot AI in small, low-risk ways?”
  • “How would an AI project fit into our current roadmap?”
  • “What business outcome should we tie an AI pilot to?”

📥 Download the Infographic

Use it to spark real conversation. Print it. Bring it to a team meeting. Make AI a shared strategy, not a siloed effort.

Download “Facilitate Cross-Team AI Conversations” Facilitate-Cross-Team-AI-Conversations-PasswordProtected.pdf – Downloaded 0 times – 1.39 MB

🔗 Other Resources

👥 Who It’s For

  • Executives leading digital transformation
  • Devs and architects aligning technical feasibility with business goals
  • DBAs ensuring scalable, secure AI data pipelines
  • PMs integrating pilots into roadmaps
  • Anyone advocating for responsible, collaborative AI