Course Objective & Scope
A large share of a project manager's time goes into reports, meeting notes, plan updates and follow-up messages. This programme shows how to use generative AI tools across the project life cycle: drafting scope and WBS, risk identification, meeting summaries and action extraction, status reporting, stakeholder communication, plus built-in AI features and simple automations in Jira, Asana and Microsoft 365 Copilot.
Verification, confidentiality and data protection limits are addressed in every exercise. Participants design a prompt library and an AI-assisted weekly reporting flow for their own projects.
Who Should Attend?
- Project and programme managers, PMO teams
- Scrum Masters, Product Owners and team leads
- Business staff who coordinate projects
- Basic project management knowledge and access to an AI assistant are sufficient
Key Takeaways
- Quickly generate and verify charter, WBS and risk list drafts with AI
- Extract summaries, decisions and action items from meeting recordings
- Produce executive-level status reports from project data
- Configure AI features and automation rules in project tools
- Apply safe-use rules for confidential project data
Curriculum
Generative AI in Project Management: Opportunities and Limits
- Which tasks suit AI and which require human judgement
- Hallucination, verification and confidentiality rules
Planning: Scope, WBS and Schedule Drafts
- Prompt patterns for charters and WBS
- Using AI for duration estimates and dependency checks
Risk, Decision and Stakeholder Analysis
- Risk identification and pre-mortem with AI
- Tailoring stakeholder messages to the audience
Meetings, Reporting and In-Tool AI
- Meeting summaries and action extraction with Teams and Copilot
- Jira and Asana AI features, automation rules
Personal AI Workflow Workshop
- Building a prompt library
- Designing an AI-assisted weekly status report flow
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