PILLAR 2: THE ADOPT FRAMEWORK

What Is a 'Work Chart'

And why it's more important than your org chart

Reimagining how we see work, people, and AI in the modern enterprise.

Every organization has an org chart. It tells you who reports to whom, where teams sit, and how authority flows. But in the era of AI, that structure no longer reflects how work actually gets done. The org chart shows hierarchy; the work chart shows reality.

As AI reshapes every role and process, leaders need a new way to understand their organizations — one that captures not just people and titles, but the flow of work, data, and AI across the business. That's where the work chart comes in.

The Problem with Org Charts

Traditional org charts were built for a pre-digital world. They assume linear reporting lines and static roles. In practice, modern work is fluid — projects span departments, decisions happen in chat threads, and AI systems now participate as "digital team members."

When you deploy tools like Microsoft Copilot or build custom AI agents, tasks start to move beyond departmental boundaries. Work becomes dynamic, adaptive, and data-driven. The org chart can't show that. It hides the patterns and dependencies that determine whether AI succeeds or stalls.

Org Chart

  • Shows hierarchy
  • Linear reporting lines
  • Static roles
  • Hides dependencies

Work Chart

  • Shows reality
  • Cross-functional flow
  • Dynamic adaptation
  • Reveals patterns

Enter the Work Chart

A work chart maps how work actually happens. It connects the dots between people, tasks, data sources, and AI systems. Instead of showing who manages whom, it shows who interacts with what — which processes depend on which data, and where automation or AI plays a role.

Think of it as an operational twin of your organization: a living model that evolves as your teams adopt AI tools, automate workflows, and redesign roles.

A work chart can reveal:

Where duplication or delay occurs in a process.

Which teams rely on outdated or siloed data.

Where AI tools are accelerating decision-making — and where they're ignored.

How human and digital contributors collaborate day to day.

Why It Matters in the AI Era

AI isn't just a new technology layer; it's a catalyst for rethinking work itself. To manage that transformation, you need visibility — not just into structure, but into flow.

Work charts give leaders a real-time view of how value is created, where friction appears, and where human judgment still matters most. They bridge the gap between business design and AI strategy, turning abstract transformation goals into actionable insight.

By tracking how work, data, and AI evolve together, you can see your organization's true operating model in motion. That's essential for identifying the next wave of opportunities, risks, and training needs.

From Org Charts to Work Charts: The Next Step

Transitioning to work charts doesn't replace HR systems — it complements them. Start by mapping a few critical processes: how projects are initiated, how decisions are approved, and where AI already supports tasks. From there, expand across departments to build a complete picture of the Work + Data + AI ecosystem.

The result is a visual framework for how your organization is actually evolving — a single view that helps you lead, measure, and adapt in the era of AI.

"The org chart shows your hierarchy.
The work chart shows your future."

Ready to Map Your Work Chart?

Learn how to visualize work, data, and AI in your organization with the ADOPT Framework.

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