Overview:
A working session for project managers and team leads on integrating AI agents and copilots into project execution without losing control of scope, quality, or accountability. We treat AI as a non-human team member with real strengths and real failure modes, and we work through the decisions a PM must own: what to delegate, what to verify, what to never let an agent decide. The class is grounded in current practice - not hype - and draws on the EPM Doctrine's view of human judgment as the irreducible center of project work.
Why you should Attend:
Your team is already using AI on your projects, with or without your blessing. If you are not deliberately managing how AI contributes - what it touches, what it cannot touch, who owns the output, and where human judgment is non-negotiable - you are not running the project. The AI is. And when something goes wrong, your name is still on the charter.
Areas Covered in the Session:
- What AI agents and copilots actually do well on projects - and where they consistently fail
- The new PM role: orchestrator of human and machine contributors
- Delegation decisions: tasks suitable for agents, tasks that require human judgment, and the gray zone in between
- Verification habits: how to review AI output without rubber-stamping it or rewriting everything yourself
- Accountability and traceability when an agent produces work product
- Status, risk, and stakeholder communication when part of the team is non-human
- Common failure patterns: over-trust, under-trust, scope drift via agent suggestions, and silent rework
- A simple framework for deciding, project by project, where AI belongs on your team
Who Will Benefit:
- Project Managers and Senior Project Managers
- Program Managers and Portfolio Managers
- Scrum Masters and Agile Coaches
- Team Leads and Technical Leads adopting AI tooling
- PMO Directors and Project Operations Managers
- Business Analysts working on AI-augmented teams