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Fast, data-driven decision-making is essential in understanding how buildings, operational systems and maintenance teams are performing. Today, thousands of data points from equipment health to energy usage to contractor performance make managing properties feel like navigating a labyrinth. Traditionally, pulling this data together for planning and action has meant time-consuming reports and manual analysis. But with tools like Willow Copilot, powered by GenAI and Willow’s Knowledge Graph, key insights can be surfaced in seconds. Willow helps identify the areas of highest avoidable cost, track which actions lead to savings, and build clear execution plans. Teams spend less time chasing data and more time making impactful decisions. It empowers them to be proactive, efficient, and strategic in managing facilities.
Adrien Caussanel, Deputy Director at BNP Paribas Real Estate Property Management in France, shares this journey and how Generative AI in Willow Copilot is simplifying these complexities.
BNP Paribas Real Estate is a leading European provider of integrated real estate services across 23 locations. Métal 57 is a landmark redevelopment project by BNP Paribas Real Estate in Paris, transforming the historic Renault factory in Boulogne-Billancourt into a cutting-edge office complex. The building is situated in the Trapèze district of Boulogne-Billancourt, on the banks of the River Seine, just southwest of central Paris. Claude Vasconi designed the building in 1984. Later, architect Dominique Perrault reimagined it into a 400,000 sq ft polymorphic space that blends industrial heritage with modern sustainability and innovation. Serving as BNP Paribas Real Estate’s headquarters, Métal 57 is a showcase of flexible workspaces, biophilic design, and smart building technologies. It’s also one of the first to offer conversational experiences with Willow Copilot.
Let’s walk through a work session at BNP Paribas Real Estate to prepare a briefing for the Maintenance team.
Disclaimer: These are sample prompts. Responses may vary. Data points listed are examples only. Energy and cost savings reported by Willow Copilot are dependent on the number of insights enabled in Willow.
Looking across the HVAC system and the IoT sensors for the entire building, a great place to start is an overview of what’s working well and what needs attention. Across a multitude of events that might be occurring on any given day, being able to sift through to understand where the biggest impact is allows us to focus on the issues with the highest Avoidable Cost.
Now that we have an overview of issues with the greatest impact and longest duration, let’s drill into specifics like faulty sensors that have stopped sending data. Making sure these faulty sensors are online is critical to deliver key metrics to tenant comfort, such as the HVAC system.
To act on these faulty sensors, teams first need to know where they’re located. Willow Copilot pinpoints the location and clearly outlines the steps to troubleshoot and resolve the issue.
A very common and relatable problem in buildings is when a room is too hot or too cold. In this scenario, let’s start by understanding a bit about the room itself.
To address the problem in the room, the Maintenance team needs to understand which equipment to take a look at. Willow integrates with multiple systems in the building, including the BMS.
Without having to reference any manuals, the Maintenance team can ask Willow Copilot about details on what function the equipment performs.
We’ll ask Willow Copilot to check the knowledge graph and inform which AHU serves the affected room.
Even when direct information is not available, continuing with follow up questions helps us find the AHU of interest. Since the HVAC Zone has a VAV, let’s start there.
Willow tracks issues occurring with assets in the form of insights, which provide recommended actions to resolve the problem. Prompting Willow Copilot puts this information at our fingertips.
Now that we understand the details of the issue, Willow Copilot provides steps for the Maintenance team to repair and resolve the problem.
At BNP Paribas Property Management, processes are evolving. Willow Copilot offloads the heavy lifting of analyzing complex building equipment and sensor data with an easy to use natural language interface. This means less time spent pulling documents and more time focusing on fast problem resolution and operational efficiency.
For Adrien Caussanel and the team at BNP Paribas Property Management, differentiated value is in driving clarity and making decisions faster. Willow Copilot helps surface the most urgent issues. It also identifies avoidable costs and recommends what actions to take. We invite you to take a closer look. Can it unlock the same value for you?