Exposure Over Replacement: When Project Managers Should Trust, Challenge, or Overrule AI
📅 Date: July 21, 2026
🕒 Time: 7:00 pm - 8:30pm EST
🌐 Venue: via Zoom
🎟 Registration: Open to members and the public for a fee
Speaker Bio:
Amer Ali is a PMI Authorized Training Partner instructor, AI educator, and multi-credentialed project management professional with PMP, PgMP, PfMP, PMI-ACP, PMI-RMP, PMI-SP, PMI-PBA, CAPM, and CPMAI. He helps project managers and PMOs apply AI responsibly in real project work without weakening judgment, stakeholder leadership, governance, or accountability. Amer recently delivered an AI masterclass for 400+ certified project professionals and has hosted conversations with respected project management leaders including Lee R. Lambert, Ricardo Vargas, and Antonio Nieto-Rodriguez. His teaching style is practical, interactive, and scenario-based, with emphasis on status reporting, risk visibility, stakeholder communication, AI-assisted drafting, AI agents, and human-in-the-loop governance. His goal is to help professionals move from AI fear to AI-enabled project leadership.
Session Summary:
AI is changing project work — from status reporting and risk summaries to stakeholder communication and AI-agent workflows. But AI output is not the decision. In this practical, interactive PMI-DVC session, Amer Ali will show project professionals how to apply the Trust, Challenge, or Overrule framework to decide when AI output is safe to use, when it needs deeper review, and when it should be rejected.
Participants will practice how to brief AI using the BRIEF method — Background, Role, Intent, Expectations, and Format — then review and challenge the output before using it with stakeholders. The session also introduces five decision checks and a six-step human-in-the-loop governance playbook that PMs and PMOs can apply to real workflows. Participants will leave with ready-to-use prompts.
This session is designed for project managers, program managers, PMO leaders, Agile practitioners, and AI-curious professionals who want to use AI to improve productivity while protecting judgment, confidentiality, stakeholder trust, and accountability.
Learning Objectives & Focus areas:
- Apply the Trust / Challenge / Overrule framework to AI-generated status reports, risk summaries, recommendations, and AI-agent outputs.
- Brief AI more effectively using context, role, intent, expectations, format, and guardrails while protecting sensitive information.
- Use five checks before acting on AI output: context, confidentiality, stakes, stakeholder impact, and accountability.
- Recognize when AI-generated status reporting may look “green” while underlying project signals suggest risk or uncertainty.
- Understand why AI agents require human-in-the-loop governance when actions may affect sponsors, steering committees, or high-stakes stakeholders.
- Use a six-step governance playbook to standardize safe, responsible, repeatable AI use across project teams or PMOs.
Attendees will leave with:
- A practical framework for deciding when to trust, challenge, or overrule AI output.
- A structured BRIEF method for writing better AI instructions.
- Five review checks to use before acting on AI-generated content.
- A six-step AI governance playbook for project teams and PMOs.
- Ready-to-use prompts and a workbook
- A clear understanding that the PM remains accountable: AI may produce the draft, but the project manager owns the decision.
