[{"_1":2,"_3":-5,"_4":-5},"loaderData",{"_5":6,"_7":8},"actionData","errors","root",{"_29":-5,"_39":-5,"_40":41,"_42":43,"_44":45,"_46":47,"_48":49,"_50":51,"_52":53,"_54":55,"_56":57,"_58":59},"routes/_store+/_readers+/email_author.$slug/route",{"_9":10,"_11":-5,"_12":-5},"book",{"_13":14,"_15":16,"_17":18,"_19":20,"_21":22,"_23":24},"currentUser","formToken","id","Z2lkOi8vbGVhbnB1Yi9TdG9yZTo6Qm9va1Byb2R1Y3QvODQ2Mjc","title","The AI-Native Project Manager","state","published","contactAuthorMethod","email","aboutText","

Every project manager has now watched an AI tool draft a status report, a charter, or a risk list in seconds. Fewer have asked what happens to the project lifecycle itself when drafting, tracking, and reporting stop being human work. This book asks that question and answers it.

The five phases every method uses (initiating, planning, executing, monitoring, closing) were designed for a world where information was scarce and only a person could act on a plan. None of that holds anymore. Bolting AI onto the old lifecycle produces faster steps and the same bottleneck: a project manager checking more output than they used to produce, with no method for checking it.

The AI-Native Project Manager gives you a redesigned lifecycle, the Governed Loop. Five phases run as a repeating cycle: Frame, Simulate, Orchestrate, Sense, and Learn. A governance line of three human checks runs through all of them: Intent before the machine acts, Verification before its output becomes a commitment, and Accountability resting with a named person, always. An Autonomy Dial sets, task by task, how much the machine does.

Written by a PMP-certified project manager who leads delivery for a US healthcare software vendor, the book stays close to the ground: fixed-price clients who want one date, compliance reviewers who cannot be hurried, agents that act before anyone confirms the data, and the commercial reality of turning a probabilistic plan into a contract. It draws on documented cases from Network Rail, HM Treasury, HealthCare.gov, NASA, and the failures that made the news, and on the author's own programs.

You will learn how to decide what data a project runs on, how to commit to a date from a range, how to design a workflow of people and AI agents with a written charter for each agent, how to triage the flood of signals a modern project tool produces, and how to close a project so the next one starts smarter. Each chapter ends with an action for this week and a note for PMO leaders. Appendices give you the worksheet, the templates, and the mapping to PMBOK, PRINCE2, and Scrum.

Most of the work is moving to machines. All of the accountability stays with people. This is the book about how to make that arrangement work.

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Kick off your book project, get started with GhostAI, get better at marketing, or spend the day doing all three! Free live workshops on Zoom. Saturday, June 27, 2026.

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