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Willow launches autonomous agents that act on Fortune 100 buildings

Willow launches autonomous agents that act on Fortune 100 buildings

New Capabilities

Building software moves from flagging problems to fixing them, within limits customers set

Yesterday: Willow launches autonomous agentic capabilities

Overview

Updated 1 hour ago

Willow's building software has spent years telling facility teams what's broken. As of September 29, its agents can act on it without waiting for a human. The company launched agentic capabilities across Fortune 100 building portfolios in 47 countries.

Two classes of agents do the work. Workflow agents filter alarms, trace root causes across disconnected systems and generate work orders. Control agents act directly on equipment, running tests and adjusting setpoints within limits each customer sets, from approving every change to acting on their own.

Why it matters

Buildings that once only reported problems now act on them within customer-set limits, and Fortune 100 portfolios in 47 countries are the test bed.

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Key Indicators

47
Countries with agentic deployments
Fortune 100 building portfolios in 47 countries now run Willow's agents.
171,000+
Assets unified at DFW Airport
Dallas-Fort Worth International Airport unified assets across five building systems and three maintenance platforms.
$4M
Savings at DFW in past year
From resolved insights, deferred capital replacement and reduced unplanned maintenance.
25%
Target maintenance cost cut at DFW by 2030
The airport targets 20-25% lower maintenance costs by 2030.
842
Potential failures surfaced at Walmart in six months
Across 20 stores, avoiding an estimated $1.4 million in downtime costs and cutting critical downtime 20%.
$1M
Savings at Georgia Southern in nine months
The university moved from reactive to predictive maintenance across more than 100 buildings.

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People Involved

Organizations Involved

Timeline

1 event Latest: Yesterday
  1. Willow launches autonomous agentic capabilities

    Latest Product launch

    Willow extends its operational AI from insight into multi-step workflows and supervised autonomous action, live across Fortune 100 building portfolios in 47 countries.

Scenarios

1

Autonomous building controls become standard at Fortune 100 facilities

Likely Resolves by Sep 29, 2027

Discussed by: AI Breakthrough's award citation and Willow's reported customer savings

Willow's agentic layer, with customer-set limits and audit trails, wins broader adoption. More Fortune 100 companies deploy workflow and control agents, and rival platforms respond with similar capabilities within a year.

2

A control-agent error triggers a safety review and tighter guardrails

Possible Resolves by Sep 29, 2027

Discussed by: Willow's own materials, which note that an incorrect setpoint in a hospital or airport has real consequences

A control agent makes a wrong adjustment that causes property damage, injury, or service disruption at a Willow customer site. Regulators or insurers respond by requiring human approval for autonomous building control actions.

3

Adoption slows as facilities teams and insurers resist machine-run buildings

Unlikely Resolves by Sep 29, 2027

Discussed by: AI Breakthrough's note on skilled-labor shortages and Facilities Dive coverage of the human element

Cultural or liability resistance limits agentic deployment to low-risk tasks. Willow keeps the capability but sees slower expansion across its Fortune 100 base, as operators keep approvals tight.

Historical Context

2 moments from history that rhyme with this story — and how they unfolded.

1975

Honeywell TDC 2000 (1975)

Honeywell introduced the TDC 2000 distributed control system, moving chemical plant and refinery operators from analog control panels to computer-driven digital control loops. It was the first system to hand routine process control to machines.

Then

Plants reduced labor and improved reliability as operators supervised rather than manually adjusted.

Now

Distributed control became the industry standard for process industries, setting the template for computer-supervised physical operations.

Why this matters now

Willow's control agents follow the same pattern: machines take over routine adjustments, with humans setting boundaries and supervising.

2015-2018

GE Predix and the industrial internet of things (2015-2018)

General Electric launched Predix, a cloud platform meant to unify industrial data for analytics and predictive maintenance. GE promoted it as the operating system for industry, promising to turn sensor data into action across turbines, trains and factories.

Then

GE struggled to monetize Predix; losses mounted and the business was wound down.

Now

The episode taught the industrial AI market that data platforms need airtight, measurable use cases, not just dashboards.

Why this matters now

Willow faces the same test GE failed: proving operational AI generates concrete savings, which it now claims across its customer base.

Sources

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