Practical AI for Project Managers

Overview

Project managers are paid to keep projects moving — which usually means a relentless stream of status updates, meeting summaries, risk logs, stakeholder emails, and schedule adjustments. A surprising share of that work is now something AI can do well, and the project managers who adopt these tools first are giving themselves a meaningful productivity advantage.

This session is built around the real work of project management. We will walk through how to use AI to draft project charters and scopes of work, summarize meeting notes into clean status updates, identify risks and dependencies, and turn raw stakeholder feedback into something you can act on. We will also look at how AI can help with the parts of the job that are hardest to delegate — like writing the difficult email to a stakeholder when a milestone is going to slip.

Throughout the session, we will focus on tools and techniques that work alongside whatever your team is already using — Microsoft 365, Smartsheet, Jira, Asana, or plain old email and Excel. No platform migration required.

Why You Should Attend

Project management is one of the highest-leverage places to apply AI. Every saved hour of status writing, every meeting summary that produces itself, every risk register that drafts the first pass of its own update — these add up to noticeable capacity gains within a single sprint.

This session is designed to give you those gains immediately. You will leave with prompts, workflows, and examples specific to PM work — including how to handle sensitive project information responsibly, how to verify AI output before sending it to a sponsor, and how to introduce AI into a team that may be skeptical. The goal is to make the routine parts of the job take less time so you have more attention left for the parts that actually require a person.

Who Will Benefit

• Project, program, and portfolio managers
• Scrum masters and agile coaches
• PMO leaders and analysts
• Construction and engineering project managers
• IT project and implementation managers
• Marketing, creative, and operations project managers
• Business analysts who manage project workstreams
• Anyone responsible for keeping a project on track

Areas Covered in the Session

• The PM workflow — where AI helps most
• Drafting project charters, scopes, and kickoff materials
• Turning meeting notes into clean status updates
• Identifying risks, dependencies, and assumptions
• Writing stakeholder emails — including the difficult ones
• Summarizing long email threads and chat logs
• Building and updating risk registers and RAID logs
• Using AI alongside Microsoft 365, Smartsheet, Jira, and Asana
• Verifying AI output before it reaches a sponsor
• Introducing AI to a project team — getting buy-in and setting norms.