For organizations

I get AI adopted, so it becomes how the work gets done.Not another pilot.

Most organizations already bought the AI. What they're missing is people who are fluent with it. I run adoption the way I've run portfolios and programs for 10+ years: scoped, governed, and measured, and I build AI fluency inside your teams so the operating model stays with you, not me.

MSCIS (Boston University) · PMP · PMI-ACP · CSPO

What stalled AI adoption costs.And what I do instead.

What I seeWhat it costsWhat I do instead
Licenses bought, barely usedYou pay for every seat while the work stays manual.An adoption plan with usage goals for each team.
Pilots with no success measureNobody can say what worked, so nothing scales.Every pilot gets a measure and an owner before it starts.
Shadow AIPeople use personal accounts, and your data leaves without rules.Approved tools and plain-English data rules.
No owner for AI workEvery team reinvents the same prompts and tools.An operating model with named owners and shared playbooks.
Training once, then nothingSkills fade and adoption stalls after launch.An ongoing fluency program, not a one-off workshop.

The AI Adoption Assessment

A few weeks to see where your organization stands: what is used, what is working, where the risk is, and the plan to scale what works.

Start a conversation

What I've delivered

  1. June 2025 to June 2026

    Takeda Pharmaceuticals

    Senior Digital Program Manager, Digital Data & Technology

    Takeda
    • Led TakVisor, the flagship enterprise AI assistant, from MVP to production: 13,000+ employees across 25+ manufacturing sites in 5 regions.
    • Cut document discovery time 70–90% (from 45+ minutes to under 5) and grew the knowledge base 290%.
    • The TakVisor team was recognized with an AWS Digital Innovation Award (Enterprise Digital Innovation) at the AWS Life Sciences Symposium 2025. I led up to 12 AI engineers, data scientists, and UX designers across 3 sites.
  2. 2014 to 2025

    Boston Medical Center

    IT Portfolio Manager

    Boston Medical Center
    • Eleven years at BMC, ending as IT Portfolio Manager and de facto Chief of Staff to the CIO, governing a $160M+ IT portfolio.
    • The portfolio, program, project, and PMO work is broken out level by level below.
  3. 2022 to present

    Boston University, Metropolitan College

    Adjunct Professor, Administrative Sciences

    Boston University
    • Designed one of the earliest AI-integrated project management graduate courses in the country.
    • Co-author of The AI Revolution in Project Management (2023); contributor to PMI's Pushing the Limits (2024).

Project, program, product, and portfolio management

The discipline under everything I do. I've worked every level of it, from single projects to a nine-figure portfolio, and I teach it at the graduate level.

  1. Portfolio

    Choosing the right work and funding it

    $160M+
    annual IT spend governed
    120+
    item portfolio
    20+
    teams, 150+ staff
    • Oversaw the EHR portfolio, the largest portfolio in IT, and governed Boston Medical Center's $160M+ annual IT spend (about $150M capital, $10–12M operating) across a 120+ item portfolio.
    • Served as de facto Chief of Staff to the CIO and VP of Digital Strategy, across 20+ teams and 150+ staff.

    Oversight areas

    • Clinical
    • Operating room
    • Emergency department
    • Physicians
    • Regulatory
    • Quality
    • Community Connect
    • Technical integrations
    • Digital patient engagement
    • Reporting and analytics

    Revenue cycle

    • Ambulatory
    • Inpatient
    • Nursing
    • Pharmacy
    • Revenue integrity
    • Billing

    Ancillary

    • Imaging
    • Lab
    • The 'ologies
  2. Program

    Coordinating many projects toward one outcome

    $90M
    enterprise PI program
    26
    IT projects behind it
    $79M
    a year, HQEIP
    • Performance Improvement (PI) goals: coordinated the IT work behind BMC's $90M enterprise PI program, including 26 IT projects.
    • Organized and governed the MassHealth Hospital Quality and Equity Incentive Program (HQEIP) alongside the Regulatory Team, worth up to $79M a year.
    • Part of the IT integration team for the Steward Health Care acquisition.
    • Took TakVisor from MVP to production across 25+ Takeda sites in 5 regions, with a team of up to 12 across 3 sites.

    PI goal areas

    • Ambulatory
    • Inpatient
    • Nursing
    • Pharmacy
    • Revenue cycle
    • Quality

    Also

    • Tech transfer initiativeAt Takeda
    • Business continuity and disaster recoveryThe technical side of the program
  3. Product

    Deciding what to build, and getting it used

    20%+
    mobile EHR adoption in two quarters
    13,000+
    TakVisor users at Takeda
    • Drove Takeda's AI product suite (TakVisor, TakVault, TakLens, advanced search, document comparison) from innovation to production, choosing and ranking use cases across manufacturing workflows.
    • Delivered BMC's first enterprise mobile EHR (Epic Haiku and Canto), passing 20% adoption in two quarters.

    At BMC I was the product manager for

    • MyChartNew features, higher patient adoption, and patient marketing
    • Care Everywhere
    • EpicCare Link (ChartLink)
    • Eggplant automation
    • Dragon Medical One dictation
    • Haiku and Canto
    • Reporting Workbench
  4. Project

    Delivering one thing, on time and adopted

    $2M+
    recovered in a purchase-order audit
    8
    named implementations on this page
    • Led the Dragon Medical One enterprise dictation rollout at BMC.
    • Led the PACS to Sectra imaging migration, and recovered $2M+ through a purchase-order audit.

    Also delivered

    • Haiku and Canto mobile EHR implementation
    • Telemedicine implementation
    • E-Consult implementation
    • Medication refill workflow improvementsGoal: shorter refill turnaround and higher patient satisfaction
    • Discharge phone callsGoal: fewer readmissions
    • Ambient AI implementation
  5. PMO

    Building the system that runs all of it

    • One of the leaders who implemented BMC's enterprise project system (Planview PMIS), moving project, program, and portfolio management off an all-Excel start.
    • Moved the PMO from reactive status-keeping to outcomes-driven governance.

Certified

  • PMPProject Management ProfessionalPMI
  • PMI-ACPAgile Certified PractitionerPMI
  • CSPOCertified Scrum Product OwnerScrum Alliance

Teaching

Boston University

AD 807: Project, program, and portfolio management, AI-integrated

Graduate course at Boston University Metropolitan College, since 2022. One of the earliest of its kind. Students also learn to present to executives.

See the course description

Writing

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

Agile, traditional, or hybrid

No single method fits every team. I'm certified and experienced in both worlds, and I tailor the approach to the company and to the people doing the work. That's the same instinct behind how I lead people.

  • Traditional

    Waterfall

    Clear scope, a fixed sequence, formal approvals. Fits regulated work and hard deadlines.

  • Agile

    Short cycles

    Working results early, feedback often, change welcome. Fits work whose shape is still forming.

  • Hybrid

    Both, tailored

    Fixed milestones and budget, with agile delivery inside. Often the fit for large organizations.

PMP · PMI-ACP · CSPO

Governance that keeps work moving

The committees, standards, and user groups that decide what gets built and keep it on track.

  • IT Executive Steering Committee
  • AI Committee
  • Project management standards
  • Portfolio and project intake
  • EHR interdisciplinary user group
  • User groups for each area

Strategy and enterprise architecture

I treat IT as a consulting partner, not a cost center: enablement, not a hindrance. Strategy only counts when it reaches the work, so I trace it all the way down.

  1. 1Mission and vision
  2. 2Goals
  3. 3Objectives
  4. 4Strategy
  5. 5Portfolio
  6. 6Program
  7. 7Project
  8. 8Operations

From mission to operations. The highlighted levels are the ones I practice hands-on, covered above. Product management runs alongside.

  • Strategy

    Tying mission and goals to the portfolio, so the funded work is the work that moves the goals.

  • Enterprise architecture

    Seeing the full picture, macro and micro, then making the recommendation that guides the technology decision.

  • Total cost of ownership

    Judging a technology decision on its lifetime cost, not its purchase price. The PACS to Sectra migration avoided a mandatory three-year locked support contract.

  • Application rationalization

    Deciding system by system what to keep, consolidate, replace, or retire, such as folding departmental lab and cardiology systems into Epic.

  • Budgeting

    Governed $160M+ a year in IT spend: about $150M capital and $10–12M operating.

  • Executive reporting

    Turning status into decisions leaders can make. I teach the same skill at Boston University.

My pillars

Four pillars under everything I do: two I practice hands-on, two I lead with. All four stand on the same foundation: regulated, systems-heavy industries.

Tactical

What I build and run, hands-on.

AI

Building with it

  • Prompts and RAGAnswers grounded in your own documents
  • Agents and MCPAI that uses your tools and takes action
  • OrchestrationAgents working together in loops and graphs
  • Human in the loopPeople approve what matters

PMO

Running the work

  • ProjectOne thing, delivered and adopted
  • ProgramMany projects, one outcome
  • PortfolioThe right work, funded
  • ProductWhat to build, and why

Strategy

Where direction gets set, and how I lead.

EA

Enterprise architecture

  • Systems thinkingHow the pieces fit together
  • Business analysisTurning needs into requirements
  • Business ⇄ techTranslating between the two

Leadership

Leading people through change

  • Servant leadershipPeople first: clear the path for the team
  • Change managementHelping people adopt new ways of working
  • ValueEvery project tied to an outcome
  • AgileShort cycles and real feedback

Where I've applied them

  • Health IT
  • Electronic Health Records (EHR)
  • Pharmaceuticals and life sciences
  • Manufacturing and supply
  • Tech transfer
  • Enterprise IT

For academics

Research and teachingWhere I think the field is going.

Everything above is work I have delivered. This section is the ideas I teach, write, and speak about.

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.

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

Let's talk about what AI could do for your organization.

Available for senior leadership and advisory roles. Résumé on request.