What if your Building Could Talk?

How smart is a smart building if it cannot speak?

Smart buildings already generate enormous amounts of data. Occupancy sensors, energy meters, climate systems, access control, maintenance platforms and workplace technologies continuously capture information about how a building is performing and being used. Yet much of this data remains fragmented across separate systems, dashboards and databases.

In this interactive session, PLEQ will demonstrate what happens when AI becomes the intelligence layer connecting these systems.

Using BuildingGPT, we will bring a real building to the stage and allow the audience to speak directly to it. Rather than watching another dashboard presentation, delegates will be able to ask the building their own questions using natural language and explore real operational data.

How busy was the building today? Which spaces are consistently underused? Where are occupancy and energy consumption misaligned? Which areas could be cleaned less frequently based on actual use? What changed compared with last week? Where should a facilities team focus its attention?

BuildingGPT demonstrates how these questions can be answered conversationally by connecting data across occupancy, energy, climate, maintenance and other building systems. The objective is not simply to create a chatbot for buildings, but to introduce a reasoning and interaction layer that makes complex building data easier to access, interpret and act upon.

The session will also explore an important development behind this new generation of building intelligence: Model Context Protocol (MCP). Today, connecting building technologies often requires individual API integrations between platforms. MCP introduces a different approach, allowing systems to expose structured data and capabilities in a way that AI applications can understand and work with directly. For building owners and technology teams, this could significantly reduce integration complexity while providing greater control over how building data is accessed and used.

We will demonstrate what this means in practice and discuss how AI could change the way building owners, facilities teams, asset managers and engineers interact with their buildings. Instead of navigating multiple dashboards or commissioning another static report, users can begin with a question and allow the intelligence layer to find, combine and interpret the relevant information.

The implications extend across building operations: identifying underused space, understanding occupancy patterns, investigating energy consumption, improving cleaning schedules, supporting maintenance decisions and providing management with faster insight into portfolio performance.

Most importantly, this will be an interactive demonstration rather than a theoretical presentation. Delegates will be invited to ask questions themselves and see how a real building responds.

The session is relevant to building owners, property and asset managers, facilities and workplace leaders, smart-building consultants, engineers, system integrators and technology teams interested in AI, IoT, building data and the future of property operations.

Come prepared to ask a real building a question and experience what happens when a smart building finally finds its voice.