PMO Strategies Podcast
Ep 369 - AI Is Exposing How Work Really Gets Done with David Dean
Hosted by Laura Barnard
David Dean joins Laura Barnard on the PMO Strategies Podcast to discuss why AI will not fix a broken operating model, and how it exposes the informal coordination, adaptation, decisions, and gaps that already shape how work gets done.
Conversation summary
This conversation is aimed directly at PMO, portfolio, and enterprise transformation leaders because those roles sit close to the gap between strategy and execution. They see not only project status, but the friction, rerouting, decision delays, and informal coordination that determine whether the organization can actually move.
David and Laura explore a central idea from An Inbox Between Us: AI does not simply change how work gets done. As organizations try to scale AI, it reveals how work was getting done all along.
The episode connects AI adoption to operating model reality. The more leaders automate, accelerate, or instrument work, the more they encounter the human system already keeping the business moving: people filling gaps, making judgment calls, adapting around constraints, and coordinating through unofficial channels.
Five key insights
- PMO and transformation leaders are uniquely positioned to see where strategy struggles to become execution.
- AI will not fix a broken operating model; it makes the brokenness harder to ignore.
- Informal coordination, adaptation, and gap-filling are not side effects of the organization. They are part of how the organization actually operates.
- Scaling AI exposes decision patterns, ownership gaps, process drift, and the real handoffs that keep work moving.
- Transformation work becomes more effective when leaders treat these behavioral signals as evidence rather than noise.
Questions answered
Why does this conversation matter for PMO leaders?
PMO leaders often see the friction between strategy and execution before anyone else. They can observe where plans break down, where coordination depends on informal work, and where the operating model does not match the lived reality.
What does AI expose inside organizations?
AI exposes how work was already happening: how people coordinate, adapt, fill gaps, make decisions, work around constraints, and keep the business moving when the formal model is incomplete.
Why will AI not fix a broken operating model?
AI can accelerate and amplify existing patterns, but it does not automatically create clear ownership, sound judgment, trusted handoffs, or disciplined execution. If those are missing, AI makes the absence visible.
How should transformation leaders respond?
They should study the behavioral evidence of work before automating it. The real opportunity is to understand where execution already depends on informal adaptation, then decide what should be clarified, governed, supported, or redesigned.
How does this connect to An Inbox Between Us?
The book argues that everyday communication creates a behavioral record of how organizations actually operate. This episode applies that idea to PMO, portfolio, strategy execution, and enterprise transformation.
Conversation guide
AI exposes the operating model
Why AI reveals the real ways work moves through an organization instead of magically fixing execution gaps.
The PMO sees strategy become execution
How PMO, portfolio, and transformation leaders occupy a powerful vantage point for seeing where work breaks down.
Coordination is the organization
Why the informal ways people coordinate, adapt, and fill gaps are not side effects; they are part of the organization itself.
Transformation starts with reality
Why meaningful change depends on understanding the lived operating model before introducing more technology.
An Inbox Between Us for PMO leaders
Connecting the book’s core argument to portfolio management, program leadership, and strategy execution.
Timecodes are omitted where the supplied transcript did not contain verifiable timing.
Explore the related concepts
Original episode links
Continue the conversation
Explore the book behind these ideas, bring the conversation to an audience, or learn more about David’s work.