Disruptegy OPERATIONAL INTELLIGENCE
MODEL IN DEVELOPMENT DISRUPTEGY

Intelligence that
moves operations.

We’re training a model to connect changing demand, priorities and capacity to the work that should happen next.

The illustrative sequence follows rising airport demand through a reconsidered priority to a proposed cleaning task. It is not live model output.

Follow a decisionAirport example
Scroll to followIllustrative sequence · not live output.
Changing demand → a proposed next task.
THE DECISION CYCLE0104
Understand

Context, connected.

Changing demand only makes sense alongside the work. Bring tasks, available people, priorities and constraints into one shared operational context.

TASKS / RESOURCES / CONSTRAINTS / PRIORITIES

  1. Context, connected.

    Changing demand only makes sense alongside the work. Bring tasks, available people, priorities and constraints into one shared operational context.

  2. Decisions, considered.

    An arrival overlap raises east-side demand. Compare restroom and gate-area needs against one available team before proposing what should happen next.

  3. Work, sequenced.

    Bring the east restroom forward, then sequence the remaining work around one team. Each card represents a task; gold identifies the proposed next action.

  4. Intelligence, evolving.

    A departure is held, so passengers stay near the gates. Bring concourse care forward. The previous positions remain as outlines, making the revised order visible for human review.

Airport custodial scheduling

The same team.
A different next task.

Follow three illustrated moments in an airport terminal. As passenger movement changes, one custodial team’s proposed priorities change with it.

Scroll to follow the shift
A / Airport terminal01 / On schedule
Airport facility overview and proposed cleaning prioritiesA terminal-wide architectural cutaway connects four aircraft stands and gate lounges to west and east restrooms, security, check-in, baggage reclaim and the landside entrance. Only the three named cleaning zones participate in the example. Simulated on-schedule flights keep arrivals spaced, with steady passing traffic and no restroom crowd build-up. West restroom: low crowd level, moderate foot traffic. East restroom: low crowd level, moderate foot traffic. Gate concourse: moderate crowd level, moderate foot traffic. Blue floor shading shows qualitative crowd levels; moving blue bands show simulated foot traffic. High crowding can persist with low passing traffic when a departure is delayed. Proposed order: West restroom, then East restroom, then Gate concourse. Gold marks a proposed priority area and cleaning path for one custodial team, for human review. The team remains at its service base while the proposal changes. The traveling signal previews a route; no completed work is implied. All demand and movement are simulated, not live data. Architectural cutaway, not to scale.

Proposed task order

1 available team

  1. West restroom

    Next

  2. East restroom

  3. Gate concourse

Begin with the routine cleaning order.

Begin with the routine

Routine demand.
Routine order.

Arrivals are spaced and passengers keep moving. With no extra demand taking priority, the west restroom stays first in the routine cleaning order.

Crowding
Low
Passing traffic
Moderate
Proposed next

Refresh west restroom

Then east restroom → gate concourse.

Start with the work already due.

Respond to an arrival

Arrivals overlap.
East moves first.

A late arrival meets the next at the east end. Passing traffic and brief crowding rise together, bringing a restroom refresh and supply check forward.

Crowding
High
Passing traffic
High
Proposed next

Refresh east restroom

Then west restroom → gate concourse.

New demand changes the order. The available team stays the same.

Reconsider the plan

A flight is held.
The gate area comes first.

Passengers wait longer near the gates. Passing traffic can fall while crowding remains high, bringing seating and bin cleaning ahead of routine restroom checks.

Crowding
High
Passing traffic
Low
Proposed next

Clean gate concourse

Then west restroom → east restroom.

Crowding and movement are different signals. The plan needs both.

Changing conditions. Decisions for human review.

Illustrative rules, not live model output. Flight patterns and demand are simulated; staffing, travel and site procedures require operational review.

What a decision needs.

A new foundation for operations.

01Context

The system, not the silo.

Our starting point is the relationship between work, resources, and constraints. Decisions gain meaning from the operational context around them.

Work & priorities and Capacity & limits connect into one shared operational state.
02Consequences

Reasoning toward action.

The training direction goes beyond generating a response. It focuses on the choices that shape what an operational system should do next.

Possible actions remain visible while their trade-offs are considered. The highlighted Proposed action is a suggestion for review.
03Sequence

Time as a first-class concern.

Task scheduling is central to the vision. Sequence, capacity, and dependencies matter as much as the individual task itself.

Prepare, Execute and Review form a dependency-aware sequence around shared capacity. Outlines retain the previous positions.
04Judgment

Built around human intent.

Goals and constraints should remain explicit. The model is intended to support operational judgment, with appropriate review of consequential actions.

Set intent and Refine constraints. A person reviews the proposal and brings refinements back into the operational context.
02 / THE VISION

The brain behind
the operation.

We’re building toward a model that connects objectives, resources and dependencies to a considered plan.

Prioritize the work. Align capacity. Adapt as conditions change.

Explore our vision
VisionVoiceTextSensorsChanging context.Proposed schedule.
Vision, voice, text and sensor data inform an operational decision. Soft fields gather context into the connected-particle model. A broad glow carries the proposed direction across six task bars of varied duration. People define the intent and review the direction as conditions change. This is a concept illustration, not live model output.
03 / THE QUESTIONS

A different model.
A clear direction.

A large model being trained for operational decision-making. Its intended role is to be the intelligence layer behind operational systems and task scheduling, with attention to objectives, constraints, dependencies, and the consequences of actions.

The next generation
of operational thinking.

Explore the model

Model in development

DISRUPTEGY / THE MODELBack to the journey

A large model.
Built for what comes next.

Beyond language.
Toward decisions.

We’re training a large model to become the brain behind operational intelligence and task scheduling. The intended role is to connect operational context to a proposed course of action.

Model in development

A decision lives
inside a system.

Tasks share resources. Dependencies shape what can happen next. The model’s intended role is to consider those relationships together, then propose a course of action.

One shared specialist. Three connected tasks.Illustrative scheduling concept
Work
Assessment, review, implementation
Capacity
One shared specialist
Dependency
Review before implementation
Initial allocationShared-resource overlap
  1. 01Site assessmentBegins at relative time 0, lasts 22 units. Illustrative relative units, not operational times.
  2. 02System reviewBegins at relative time 5, lasts 27 units. Illustrative relative units, not operational times.
  3. 03ImplementationBegins at relative time 37, lasts 39 units. Illustrative relative units, not operational times.

Assessment and review overlap while relying on the same specialist.

A proposed orderFor human review
  1. 01Site assessmentBegins at relative time 0, lasts 22 units. Illustrative relative units, not operational times.
  2. 02System reviewBegins at relative time 24, lasts 27 units. Illustrative relative units, not operational times.
  3. 03ImplementationBegins at relative time 53, lasts 39 units. Illustrative relative units, not operational times.

Separate the competing tasks. Keep the dependent work in sequence.

Original positions remain visible

A shared-specialist example. The highlighted sequence is one proposal for human review.

What should
happen next?

A decision is more than an answer.
It changes the way work moves.

Two tasks. One shared specialist.

A resource conflict changes what can run in parallel. A proposed schedule separates the competing tasks while protecting the dependent work.

INITIAL SEQUENCEIllustrative input
  • Site assessment: begins at relative time 0, lasts 22 units, and finishes at 22. These are illustrative relative units, not operational times.
  • System review: begins at relative time 5, lasts 27 units, and finishes at 32. These are illustrative relative units, not operational times.
  • Implementation: begins at relative time 37, lasts 39 units, and finishes at 76. These are illustrative relative units, not operational times.

Explore how a change in context could change the plan.

Illustrative scenario. Not live model output.

Shared work.
One thread of context.

Two people, one job. This concept makes a change in responsibility visible while keeping the task and its context together.

Person AExample lead
Person BShared context
EX-014ONE EXAMPLE JOB

Equipment readiness check

Check the equipment, record the findings, and prepare the next step for review.

Shared context stays attachedLead: Person A

Person A leads this example. Both people work around the same job.

Fictional interface concept. Not a shipped capability or live model output.

Return to the journey