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Operational AI for the Built World

T-Mobile built one of the most advanced
corporate campuses in America.
Now add the intelligence layer.

T-Mobile made the investments: $160M in campus infrastructure, net-zero commitments, 61 WELL-rated locations. Willow is designed to make those investments perform the way they were intended to.

"

We have a building management system that controls our HVAC with general occupancy norms. We're in the market for software that will coordinate settings to match the needs of the exact number of people in a specific space at any given time without wasting energy.

Scott Woodrome Director of Facilities Management & Experience, T-Mobile · T-Mobile Newsroom, 2025
Trusted by the Fortune 500
Built on Microsoft Azure
AI Startup of the Year 2025
Microsoft Certified Software Solutions Partner for Industry AI
Peer outcomes

Three problems T-Mobile has named.
How organizations with similar challenges are solving them.

HVAC efficiency. Predictive maintenance. Sustainability reporting at scale. Here's what peer organizations with comparable challenges have achieved with Willow.

Energy / HVAC occupancy
$1M+
Operational savings in 9 months at Georgia Southern University with occupancy-based HVAC control as the primary driver. Over 100 buildings across 5 campuses.
🔧
Predictive maintenance
842
Failures identified and addressed before any disruption at 20 Walmart stores in 6 months. $1.4M in avoidable downtime. 20% reduction in critical downtime costs. Comparable campus scale and complexity to Bellevue.
🌿
Sustainability / net-zero
$200K+
Avoidable costs in the first year at Northern Arizona University. Committed to carbon-neutral by 2030, a similar mandate T-Mobile has set for Overland Park. Manual sustainability reporting became real-time operational intelligence.
Before and after

The reactive model versus
a system that runs.

The difference is not a better dashboard. It is a different operating model, where the platform can take action before anyone notices a problem.

Today — the reactive model
With Willow
HVAC runs on a 6pm time-based setback — the same schedule whether there are 12 people in the building or 1,200.
Automatic HVAC setbacks triggered by live occupancy data from sensors, badge systems, and space booking. Pre-conditioning before people arrive. Curtailment when spaces empty.
A fault alert tells you AHU-4 is underperforming. A technician gets a call when it fails.
Willow can predict failure days out. Work order auto-generated with root cause and recommended action. Repair scheduled during off-peak hours. Carbon impact logged.
Sustainability reporting requires manual data pulls from multiple systems that don't talk to each other. The report describes last month.
Energy, carbon, and compliance data unified in real time. Sustainability reporting becomes an operational decision tool instead of a retrospective exercise.
Operators ask questions across disconnected systems, wait for answers, and act on incomplete information.
Willow Copilot answers natural language queries across the entire campus Knowledge Graph, taking into account every fault, asset, and energy signal.
Willow Copilot

Your entire campus. Queryable in plain English.

Willow Copilot connects to the entire Knowledge Graph — every asset, every fault, every energy signal, every open work order — and answers questions in natural language. At Northern Arizona University, new technicians were productive in their first week, not after months of training.

What does this look like for a campus the size of Bellevue? Here's the kind of question your team could ask and what Copilot returns.

Watch Copilot in action ↗
Facilities manager asks
"Show me every HVAC fault linked to an open work order and its energy impact across Bellevue and Overland Park."
Willow Copilot returns
Found 14 active HVAC faults linked to open work orders across both campuses.

3 faults classified as high-energy impact; combined estimated waste: 4,200 kWh/week.

Highest priority: AHU-7, Building 3 Bellevue — predicted failure in 9 days based on degradation pattern. Work order routed. Recommended repair window: Saturday 02:00–06:00.

Carbon impact of unresolved faults: 2.1 tonnes CO₂ equivalent per week.
Response time: 6 seconds
Platform scale

Built for the complexity T-Mobile is running today.

75+
Built world systems Willow integrates with — BMS, CMMS, IoT devices, OT and IT
10M+
Telemetry points processed in real time across the platform
$1M+
Estimated avoidable costs identified in the first year at Georgia Southern University
$1.4M
Total savings in 6 months at Walmart — 842 issues identified and addressed before failure

"We can actually know when or predict when something is going to break. We can schedule that maintenance at night when it doesn't impact customers — and then, of course, that saves a lot of money."

Chris Poinsatte, CFO — Dallas Fort Worth International Airport · Read the DFW story
Microsoft integration

Willow runs on Microsoft Azure, just like T-Mobile.

Willow is a Microsoft-recognized Frontier firm built natively on Azure, available through the Azure Marketplace and eligible to count toward your MACC commitment. That means faster procurement through a vendor relationship T-Mobile already trusts and native integration across the Microsoft stack your teams rely on: Azure Data Factory, Power BI, Power Automate, and Dynamics 365.

How Willow drives innovation with Azure ↗
Microsoft Certified Software Solutions Partner for Industry AI
Built on Microsoft Azure
Native integration with Azure Data Factory
Power BI and Power Automate compatible
US-only data residency
Single-tenant architecture — enterprise security model
NIST-aligned security practices
Platform vs. point solution

Fault detection is a starting point.
Not a destination.

There is a category of building analytics tools that detect faults and generate reports. They are diagnostics. They tell you something is wrong. Willow is different in kind, not degree, and the scope of what you're trying to accomplish demands that distinction.

A building analytics or FDD platform gives you

A fault alert: "AHU-4 is underperforming."

A dashboard showing faults and their severity.

Energy reporting for the period just passed.

Another system to check alongside your BMS and CMMS.

No path to occupancy-based HVAC control, automated work orders, sustainability tracking, or conversational AI.

This is a diagnostic. It observes and reports.

Willow gives you

Predicted failure: "AHU-4 will fail based on its degradation pattern" before it disrupts anyone.

Work order auto-generated with root cause, asset history, and recommended action, routed to your CMMS before anyone makes a call.

Real-time energy, carbon, and compliance data in one operational view.

A unified Knowledge Graph connecting your BMS, CMMS, IoT, and occupancy data in one platform instead of a new silo.

Willow Copilot, Active Control, occupancy-based HVAC automation, and a platform that scales to every campus in your portfolio.

This is a system that runs. Read: The shift from EPC to platforms →

Occupancy-based HVAC control, automated CMMS work orders with fault data, digital twin functionality, conversational AI, and the ability to scale nationally — these are platform use cases. Any evaluation should be structured around that scope.

Resource center

Content matched to where
you are in the evaluation.

Each resource below maps to a specific question T-Mobile's evaluation team is likely working through. Browse by topic.

For IT leadership and technical evaluators

Whitepaper

Key trends driving transformation of the built world in 2025 — the strategic context for why this category exists now.

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