As the built world continues to evolve, facility managers are faced with a myriad of challenges that can hinder operational efficiency and sustainability. From managing energy consumption and ensuring occupant comfort to maintaining aging infrastructures and assets, the demand on facilities to move from reactive to proactive maintenance and management has never been greater. Conventional methods, like reactive or scheduled maintenance, make it difficult to prevent costly equipment breakdowns and optimize resource allocation.

Enter Willow’s transformative, AI-driven digital twin with Copilot technology – empowering facility managers to intelligently visualize and analyze data from hundreds of sources for more informed decision-making and predictive analytics that can save both time and potential millions. McKinsey finds that implementing AI for predictive maintenance can reduce maintenance costs by up to 30% and decrease equipment downtime by up to 50%, while extending asset lifespan by 20-40%.1

“When something breaks, we rely on someone noticing and reporting it. That’s not sustainable, especially for an airport of our size and scale,” says Chris Poinsatte, CFO of Dallas-Fort Worth International Airport (DFW). “With Willow, we can actually predict and know when something is going to break, and we can schedule that maintenance at night when it doesn’t impact customers—and then, of course, that saves a lot of money.”

Built on Microsoft Azure AI and Azure OpenAI Services, Willow Copilot—an AI assistant for the built world—enables customers to use a natural language interface to ask questions about their facilities as a companion multi-modal experience. Eliminating the need for technicians to first go physically assess the issue—which could take 30 minutes in travel time alone—then return to conduct additional research and manually sift through hundreds of manuals and documentation, Willow Copilot accelerates time to value and workflows, including interpreting, diagnosing, mitigating, and resolving insights and work orders in the field. With Willow Copilot built directly into its digital twin platform, this integrated experience delivers a daily briefing that provides an instant summary of top insights, building analytics, and priority tasks. Organizations like Dallas-Fort Worth International Airport are able to quickly identify predictive maintenance needs and intelligently assist technicians with work orders on HVAC equipment, passenger boarding bridges, and more— all with the contextual understanding of the airport’s work orders, assets, and equipment manuals.

Willow Copilot is enabling our HVAC technicians to better respond without having to go through multiple platforms or locations to gather the information they need. Basically, we’re changing the way they work. We can create digital workflows for things that previously required a lot of manual effort, and with such a large footprint to this airport this is helping us be more efficient with technicians’ time and be able to solve the problem first time if possible.”
Chris Poinsatte, Chief Financial Officer, Dallas-Fort Worth International Airport.
Want to learn more about how Willow’s digital twin platform and AI Copilot are enabling transformative predictive maintenance? See it in action.
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