For academics
Research, teaching, and thought leadership.Where I think the field is going.
I teach AI-integrated project management at Boston University, co-authored The AI Revolution in Project Management, and speak and write about how AI is changing the way projects, programs, products, and portfolios are run.
Adjunct Professor, Boston University Metropolitan College · Co-author, The AI Revolution in Project Management (2023)
Speaking
UpcomingSpeaker and presenter · Boston University Metropolitan CollegeProject Management in Practice (PMiP) ConferenceOctober 30–31, 2026 · Boston, MA · 20th annualSee the speaker lineup ↗
Speaker · PMI Mass Bay ChapterProject Leadership Summit 2026September 2026 · Aloft Boston Seaport DistrictSee my speaker bio ↗
Thought leadership
The ideas I bring to talks, classrooms, and leadership teams.
- 01
AI adoption, not AI pilots
Most organizations already bought the tools. The work is getting people fluent enough that AI becomes how the work gets done.
- 02
AI agents as project resources
Treat agents like named members of the team: clear scope, an owner, and a person who approves what matters.
- 03
The Agentic PMO
As agents take on project work, the PMO becomes the place that runs them. A working thesis I teach and write about.
Publications
The AI Revolution in Project Management
Co-author, 2023, PMI-endorsed
A comparative study of AI tools in PM education
2023
Pushing the Limits
PMI, 2024, contributor
Teaching the shift

I teach AD 807, Principles and Best Practices in Project, Program, and Portfolio Management, at Boston University (Metropolitan College): one of the earliest AI-integrated project management graduate courses in the country. Students work a real, complex case study with AI tools and agents alongside the classic disciplines: schedule integration, change control, risk analysis, and executive reporting. They also learn to present to executives: recorded status updates every two weeks, a read-out to a board of trustees, and an AI-built executive dashboard.
Co-author of The AI Revolution in Project Management (2023, PMI-endorsed). Foreword by Ricardo Viana Vargas, PhD.
Invite me to speak or train your teamWhat my students say
Anonymous comments from Boston University's course evaluation for AD 807, Summer 2026.
Prof. Wong created a welcoming and supportive learning environment where students felt comfortable asking questions and participating. He was knowledgeable, approachable, and responsive. The course was engaging and well organized, and I appreciated the balance between theory and practical real examples.
Graduate student, AD 807 Applying program management frameworks (schedule integration, change control, risk assessment, and AI-assisted tools) to a real and complex case study with a blast of everything AI.
Graduate student, AD 807 Professor Wong would be a great addition to the AI Development Accelerator program here at BU as he exemplifies practical use of the tools within their current job and within the classroom.
Graduate student, AD 807
The most valuable aspects were the practical examples, structured explanations, and opportunities to apply the concepts. Prof. Wong's knowledge of the subject and ability to connect course material to real-world scenarios made the learning experience especially valuable.
Graduate student, AD 807 Take it. It's demanding and there were moments of real struggle, but the skills and confidence you walk away with make it worth every bit of the work.
Graduate student, AD 807 I learned a great deal from this course. The material was presented clearly and reinforced through relevant examples and practical activities. The course helped me develop both a stronger conceptual understanding and skills that I can apply in real-world situations.
Graduate student, AD 807
Working thesis
The Agentic PMO
Managing AI agents is a program-management problem, not a coding problem.
My working thesis: as AI agents take on more project work, the PMO becomes the place that runs them. Agents do the legwork, people hold the decisions, and the PMO sets the rules. I teach and write about this model; it is a framework, not a system I have deployed.
- Agent
Triages new requests and drafts the business case
Intake
PMO lead accepts or sends it back
- Agent
Scores each request against strategy and capacity
Portfolio
Portfolio board decides
- Agent
Tracks dependencies across projects
Program
Program manager resolves conflicts
- Agent
Updates status from the work itself
Delivery
Project manager signs off milestones
- Agent
Writes the weekly status in plain English
Reporting
Leaders get decisions, not dashboards
Watches every stage and raises flags early. A person owns every response.
A model for teaching and discussion, not a deployed system.