Greg Judelman

Advising leaders working on the human and organizational side of the AI transition.

Strategy, governance, operating models, and the organizational capacity behind AI adoption.

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While organizations are focused on AI tools and productivity gains, less attention is being paid to how organizations themselves need to adapt: how decisions get made, how teams coordinate, how responsibilities are shared, and how learning happens across the organization. That's where AI adoption often gets stuck, and it's where I work.

The work focuses on four shifts

Isolated experimentation

Coordinated organizational learning

Today, teams are experimenting with AI on their own. Learning stays local, leadership has limited visibility, and the same experiments get repeated in different corners of the organization.

When this shifts, experimentation becomes visible and connected. Teams learn from each other. Leadership can see where momentum, risk, and opportunity are emerging.

What I help build
  • Shared experimentation practices
  • Cross-team coordination
  • Shared learning routines
  • Lightweight experimentation governance

AI for individual productivity

Workflow and operating model redesign

Today, AI is mostly being used for individual productivity. People draft, summarize, and search faster, but the workflows, approvals, and roles around the work stay the same.

When this shifts, organizations redesign how work happens: who owns what, what AI supports, where judgment lives, and how exceptions get handled.

What I help build
  • Workflow redesign
  • Clearer ownership structures
  • Human-AI ways of working
  • Service and workflow adaptation

Reactive governance

Adaptive operating practices

Today, governance emerges reactively. Teams are not sure what is allowed. Approvals become bottlenecks. Policies lag behind actual usage.

When this shifts, practical operating practices let experimentation happen while keeping risk proportionate to context. Governance becomes part of day-to-day decision-making instead of living only in policy documents.

What I help build
  • Practical governance models
  • Experimentation guardrails
  • Review and escalation practices
  • Manager enablement

Strategic uncertainty

Aligned organizational direction

Today, pressure to move on AI is high, but leadership priorities, governance, and what is happening on the ground are not connected. Strategy gets set in one room while experimentation happens in others.

When this shifts, strategy, governance, experimentation, and day-to-day work begin to reinforce each other. Priorities clarify, trade-offs become explicit, and leadership and teams move in the same direction.

What I help build
  • Strategic alignment
  • Transformation coordination
  • Shared visibility across initiatives
  • Operational feedback loops

How I work

The goal is capability that stays inside the organization when the engagement ends.

Organizations develop new operating practices by practicing them. I work alongside leadership and working teams as they engage directly with the real decisions, workflows, and governance questions in front of them. Judgment, shared understanding, and operating instincts get built that way, in the work itself.

Depth of participation right-sizes to the organization's capacity. The more the organization engages, the more durable the outcome tends to be.

Selected work

Recent engagements focus on governance, operating model change, organizational coordination, and service transformation in complex public-sector and regulated environments. Much of the work sits at the intersection of modernization, digital transformation, and organizational adaptation.

Government of Canada · Federal department

AI governance, evaluation, and operational oversight

Developed governance and evaluation frameworks for AI-assisted adjudication systems in a high-stakes regulatory environment. The work established clearer ownership, evidence requirements, review practices, and operational oversight structures for responsible AI deployment.

Delivered in partnership with Thinking Big.

Government of Prince Edward Island · Service PEI

Government service modernization and future operating model design

Led strategic modernization work for a province-wide government service delivery platform. The work clarified future operating models, cross-departmental coordination needs, service integration priorities, and a sequenced transition path leadership could operationalize.

Delivered in partnership with Thinking Big.

Government of Prince Edward Island · Health PEI

Digital governance and executive prioritization

Developed governance and prioritization frameworks supporting coordination across digital initiatives and organizational priorities. The work improved intake, evaluation, prioritization, and executive decision-making under constrained organizational capacity.

Delivered in partnership with Thinking Big.

Government of Ontario · Treasury Board Secretariat

Service transformation strategy for the AI era

Strategic engagement with senior leadership on how internal services and citizen service delivery evolve under AI-driven change. The work named the future service models under consideration, the organizational implications behind each, and the coordination demands of adapting public-sector service delivery in an AI-enabled environment.

The AI Transformation Canvas

The AI Transformation Canvas is a strategic framework I developed to help leadership teams navigate organizational adaptation during the AI transition. It organizes the work into eight connected areas spanning strategy, governance, workflows, operating models, and organizational learning.

Teams use it to clarify priorities, surface coordination gaps, and guide operational change over time.

Download the Canvas →
Strategic focus
Layer
Strategic intent
Why AI, where it fits in the mission, the bets the organization is making.
Value & outcomes
What success looks like, who it accrues to, how it gets measured.
Adaptation
Layer
Operating model
How decisions get made and how the work actually moves through.
Governance & decision rights
Policy, risk, accountability, and the rules of engagement.
Workflow & practice
How daily work changes when AI sits inside it.
Evaluation & learning
How quality is judged in practice and how learning travels.
Enablement
Layer
People & capability
Skills, roles, and capacity to use AI well across the organization.
Technology & data
Systems, tooling, and data foundations the rest of it depends on.

Selected writing

Observations from engagements, research, conversations, and ongoing practice.

LinkedIn · 2026

Governance is the bottleneck, not the technology.

Most AI initiatives stall after the pilot. The constraint isn't capability. It's the absence of decision rights, evaluation, and the operating cadence that lets the organization use what it already has.

 LinkedIn · 2026

The middle layer is where value is made and lost.

Vision is easy. Pilots are easy. The work that decides whether AI changes how the organization actually runs sits in the operating model — and that's the layer most strategy decks skip.

 LinkedIn · 2026

What AI should be optimized for.

Throughput and scale are the defaults. Coordination, stewardship, and long-horizon adaptation are usually secondary — often not designed for at all. A note on what gets built when you choose different targets.

Background

I advise organizations on adapting to AI in practice, working independently and assembling small teams and collaborators as needed.

In 2021 I joined Accenture's design and product practice leadership team in Canada, working across large enterprise and government transformation initiatives.

Before that, in 2011 I co-founded The Moment, one of Canada's leading service design and innovation consultancies, and co-led it for a decade. The work helped establish service design, experience design, and organizational innovation practices across government, healthcare, finance, and telecommunications.

I also run ReGenAI, a studio exploring ecological and regenerative approaches to AI.

Detail on LinkedIn →

If you're working through any of this, I'd welcome a conversation.

Book a call →

Engagements range from focused strategic sessions to longer-term advisory support. Most start by clarifying what is changing inside the organization and where additional coordination or support may be needed.

For agencies, networks, and partner firms: I take on senior advisory engagements alongside other consultancies. Get in touch.