Course Objective & Scope
Project managers spend much of their time on meeting notes, status reports, risk registers and stakeholder correspondence. This programme embeds generative AI across the project life cycle: project charter and scope drafts, work breakdown structure (WBS), estimation assumptions, risk analysis, change request assessment and lessons learned.
Participants work on a real or anonymised project from their own organisation. Deliverables include prompt templates aligned with PMBOK and agile practices, a verification checklist for AI outputs and a status-reporting workflow the team can reuse.
Who Should Attend?
- Project and programme managers
- PMO specialists and portfolio managers
- Scrum Masters and agile coaches
- Prerequisite: no technical background needed; everyday office tools are enough
Key Takeaways
- Draft and critically review project charters, scope statements and WBS with AI
- Extract decisions, actions and risks from meeting transcripts
- Enrich the risk register with probability–impact assessments and mitigation ideas
- Produce status reports and executive summaries tailored to each stakeholder group
- Apply confidentiality and KVKK boundaries when sharing project data
Curriculum
Where Generative AI Fits in Project Management
- Use cases in planning, tracking and communication
- Strengths and limits of LLMs, hallucination risk
- Enterprise tools: Microsoft 365 Copilot, ChatGPT Enterprise, Gemini
Initiation and Planning
- Drafting the project charter and scope statement
- Deriving WBS, milestones and dependencies
- Challenging estimation assumptions with AI
Risk, Change and Decision Management
- Risk register, probability–impact analysis and mitigation plan
- Change request impact analysis
- Decision log and assumption tracking
Meetings and Stakeholder Communication
- Decision and action lists from transcripts
- Stakeholder-specific status reports and executive summaries
- Drafts for difficult messages such as delays and budget overruns
Safe Use and Team Standards
- Confidential project data, KVKK and approved-tool policy
- Output verification checklist
- Shared prompt library for the project team
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