Thinking

    Notes on programs, people and technology

    Reflections from leading global programs: how teams plan, decide and collaborate as AI changes the way we work.

    1. AI Is Changing How We Work. Are We Rethinking How We Collaborate?

      Why the real opportunity of AI goes beyond speed: how Program Managers and Producers can turn extra capacity into creativity, better decisions and stronger collaboration.

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    2. Automation Needs the Human Touch

      Automation gives teams time back, but generating something is not the same as getting it right. Where review, ownership, and accountability still belong with people.

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    3. AI Can Support PI Planning. People Still Own the Plan.

      AI can help teams prepare for PI Planning and question assumptions. Shared understanding, negotiated dependencies, and commitments still need people.

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    4. AI Can Help With Story Points. It Should Not Own the Estimate.

      Use AI to surface uncertainty and improve estimation conversations, without turning story points into hours, universal calculations, or performance targets.

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    5. Adopting AI in Program Work Starts With a Better Working Agreement

      A practical approach to AI adoption that starts with a real workflow, explicit boundaries, and evidence of usefulness rather than a mandate to use more tools.

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    6. Adapt Agile Ceremonies for AI Without Losing the Conversation

      AI can support preparation and follow-through, but Agile events still need inspection, adaptation, and honest conversations between the people involved.

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    7. Jira and AI: Better Context, Clearer Ownership

      Use Jira’s documented AI capabilities carefully, verify what your environment supports, and keep generated content separate from approved decisions.

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    8. AI Program Risks Need Owners, Not Just a Checklist

      Turn AI concerns about data, hallucinations, security, and governance into practical treatments with accountable owners, evidence, and a clear stop mechanism.

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