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

Thought leadership

The ideas I bring to talks, classrooms, and leadership teams.

  1. 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.

  2. 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.

  3. 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

Book cover: The AI Revolution in Project Management: Elevating Productivity with Generative AI, by Vijay Kanabar and Jason Wong

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 team

What 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.

Agentdoes the legworka person holds the gate
  1. Agent

    Triages new requests and drafts the business case

    Intake

    PMO lead accepts or sends it back

  2. Agent

    Scores each request against strategy and capacity

    Portfolio

    Portfolio board decides

  3. Agent

    Tracks dependencies across projects

    Program

    Program manager resolves conflicts

  4. Agent

    Updates status from the work itself

    Delivery

    Project manager signs off milestones

  5. Agent

    Writes the weekly status in plain English

    Reporting

    Leaders get decisions, not dashboards

Risk agent

Watches every stage and raises flags early. A person owns every response.

A model for teaching and discussion, not a deployed system.