Overview:

This session introduces project managers to a structured, prompt-based approach for using AI tools across the project management lifecycle. Rather than treating AI as a novelty or a one-off shortcut, attendees will learn how to build repeatable prompting habits for initiation, planning, execution tracking, risk documentation, and stakeholder reporting. The session stays grounded in realistic PM scenarios and avoids tool hype, focusing instead on judgment: knowing when AI output is ready to use, when it needs revision, and when a task still requires human oversight. Attendees leave with a practical starting toolkit they can apply the same week.

Why you should Attend: Project managers who don't build fluency with AI tools risk falling behind peers who are already cutting hours off status reporting, risk documentation, and meeting follow-ups. Manual, tool-by-tool experimentation wastes time and produces inconsistent results. Without a clear framework, PMs risk either underusing AI (missing real efficiency gains) or overusing it carelessly (introducing errors into critical project documentation). This session gives you a dependable, low-risk starting point.

Areas Covered in the Session:

• How AI fits into the project management lifecycle without replacing PM judgment
• Building clear, structured prompts for project charters and scope statements
• Using AI to draft and refine project schedules and milestone breakdowns
• Turning raw status updates into polished stakeholder-ready reports
• Drafting risk registers and mitigation language faster with AI assistance
• Summarizing meeting notes into action items and follow-ups
• Using AI to prepare for difficult stakeholder or client conversations
• Common mistakes PMs make when relying on AI-generated content
• Setting personal guardrails for accuracy, tone, and confidentiality when using AI tools

• Project Managers
• Program Managers
• PMO Leads
• Team Leads
• Scrum Masters
• Delivery Managers
• Operations Managers
• Business Analysts