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Org Management
Org Management
Scale & Complexity
Operational Leaders
Clarity Over Abstraction
The Standard Experience
The Current Product
How Might We
Design Principles
AI Connective Layer
Design Propositions
Progressive Disclosure
Non-Linear Flow
Connecting AI to UI
Sandboxing & Deltas
Key Design Bets
Reliable Judgment
Atlassian

An AI-native interface helping enterprise leaders evaluate high-stakes scenarios and ripple effects.

Unifying workforce visibility & strategy for leaders.

Org Management

Org Management

Evolving how leaders see, understand, and act on workforce and strategy

A design solution in an AI-native enterprise experience

Workforce and strategy at a scale where every decision has downstream consequences across thousands of people.

Helping leaders run the largest companies on the planet
Dell
The Home Depot
And dozens more in the Fortune 200

Operational
Org Leaders

High-Level Aggregation
OUR CORE PERSONA
Org Management
Data Management

"Help me understand what's actually happening across my org , without having to dig through five different reports."

"Help me see how a change in one area will affect everything else before I make a decision."

"Help me know where to focus , without needing an analyst to tell me what the data means."

The demand for abstraction is partly a symptom of bad information design , not an intrinsic leadership preference.

The goal isn't efficiency through abstraction. It's efficiency through clarity.

The standard experience

A long left nav. A dashboard. And a series of deep dives that take you further and further from the whole picture.

AI is magical chatbot that obscures how and where it's looking and making changes.

The current product

The current product

How might we...

...let leaders move fluidly across every hierarchy that exists within their org?

(Fluid hierarchy switching)

...make the state of the entire org immediately legible, at any scale?

(Org legibility at any scale)

...replace the need to be told with the ability to see?

(Spatial context as speed)

...make AI's actions as visible and understandable as a developer reading code?

(Visible AI fluency)

...make "what if" as fast and legible as "what is"?

(Scenario sandboxing)

Three principles that shaped every decision.

Show the work, not just the answer

Trustvs.Opacity

Legibility over explanation

Fluencyvs.Interpreter

Assist, don't decide

Assistancevs.Overreach

AI as a connective layer

Not a chatbot appended to a dashboard. Intelligence woven into the moment of decision , connecting what the product kept apart, and keeping the leader inside the process.

  • Surfaces anomalies before they're searched
  • Connects signals across previously siloed domains
  • Shows its reasoning , the ingredients, not just the answer
  • Keeps the underlying data one tap away at all times
HeadcountAttritionOrg StructureStrategic PrioritiesCapacity

The design propositions that make this real.

Progressive disclosure and spatial context

Non-linear flow

Connecting AI to UI

Sandboxing and deltas

Progressive disclosure and spatial context

Non-linear flow

Organizations often have different constructs of hierarchy. Reporting structures, work or project structures, and business units. Instead of using left navs and tabs to organize everything separately, this UI combines those models into a single interface, allowing you to switch seamlessly and see how they're all connected.

Connecting AI to UI

Sandboxing and deltas

What the design will help us understand better.

Fluid hierarchy switching
Macro and micro in one view
Spatial legibility as speed
Visible AI parity
Scenario sandboxing

AI in enterprise isn't about removing judgment.
It's about making reliable judgment possible at scale.

When enterprise tools siloed context and AI was being used as a crutch, I question the idea that abstracting is the best answer.