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RAG-powered AI agents unify and reason over IoT, maintenance, and energy data to predict failures, assist FM teams, optimise building performance, and enhance operation reliability
About
Smart FM & AI-Driven Solutions: Turning Building Data into Intelligent Action
Modern corporate facilities generate a wealth of operational data, from IoT sensors and energy systems to maintenance logs, BIM models and compliance reports. Yet, for most organisations, this data remains fragmented, underused and reactive. The result: unnecessary downtimes, safety risks, inflated maintenance costs and missed sustainability opportunities.
Our innovation transforms this complexity into intelligence.
Using Retrieval-Augmented Generation (RAG) and autonomous AI agents, the solution connects previously isolated FM data streams to deliver real-time insights, predictive actions, and conversational decision support.
Unlike traditional analytics dashboards or BMS tools that simply visualise data, our solution understands context. It can read and cross reference (amongst others):
- Live IoT telemetry (temperature, vibration, energy, air quality)
- Maintenance records and service tickets
- BIM and asset hierarchies
- Manufacturer manuals and safety standards
- Historical energy and performance reports
Instead of endlessly searching through dashboards or technical manuals, engineers, sustainability managers, and building operators can simply ask: "Why is my HVAN energy use spiking?", "What's the optimal maintenance schedule for x across our sites?" or "How can we reduce costs of this facility without compromising comfort?", and get nuanced, contextual answers from our RAG agents in less than 2 seconds.
Behind the scenes, the RAG system dynamically retrieves and interprets vast amounts of verified information - enabling evidence-based recommendations and automated workflows.
Core capabilities include:
- Predictive maintenance advisor: Through correlating and cross referencing relevant data such as operating failure reports and complaints, the system detects early signs of equipment failure and auto-generates work orders.
- FM assistant agent: Our RAG agents answer natural-language queries using historical and live data, through text or conversationally, with emotional intelligent and contextual understanding.
- Connected building optimisation: Through information compiling and preference memory the system produces explainable recommendations of adjustments to HVAC and lighting systems for efficiency and comfort balance and, when integrated with CBRE’s CAFM or BMS systems, automated work orders or control adjustments.
- Operational reliability analytics: The AI Copilot is able to identify cross-site performance issues and improvement opportunities and escalate through appropriate channels.
What makes LIVR's solution unique is its fusion of advanced language models with operational data systems, allowing decisions to be made with human-level reasoning but machine-level speed and scale. Traditional predictive analytics platforms rely on pre-defined models; our RAG-based agents learn dynamically from new documents, data sources, and real-time building conditions, adapting continuously as assets age, tenants change, or sustainability priorities evolve. The result is an AI-enabled facilities ecosystem that evolves with the portfolio - a system that not only predicts what’s about to fail but understands why, recommends how to fix it, and ensures that decisions are sustainable, compliant and cost effective.
For CBRE’s clients (global enterprises managing vast real estate portfolios) this solution unlocks measurable value through operational efficiency, sustainability gains, cost reductions and enhanced service reliability.
By converging AI reasoning, IoT integration, and facilities expertise, it redefines Facilities Management from reactive maintenance to intelligent, autonomous performance management - a key step toward net-zero operations and the future of connected, human-centric buildings.
Key Benefits
Key Benefits: Transforming Facilities Management into Intelligent Operations
By adopting the Smart FM & AI-Driven Solutions, CBRE’s clients transition from reactive, isolated facilities management to a proactive, data-intelligent, and autonomous operations model. This transformation delivers measurable business impact across five key dimensions:
1. Operational Intelligence & Efficiency
In contrast to most facilities teams which rely on manual data extraction from disparate sources and dashboards and end up with slow decision-making processes and missed optimisation opportunities, our AI Agents continuously interpret and act on live IoT, maintenance, and energy data; automating diagnostics, predicting failures, and prioritising interventions based on risk and impact. This leads to an approximate 30% reduction in unplanned downtimes, fewer site visits and lower maintenance costs, optimising operational workflows and facility management.
2. Predictive and Autonomous Maintenance
AI powered predictive maintenance ensures that issues are addressed before they become failures. The system generates explainable recommendations, retrieves relevant manuals and can even trigger work orders automatically (when approved and appropriate). This results in increased asset lifespan, improved reliability, and reduced repair costs.
3. Sustainability and Net Zero Enablement
Our AI Copilot continuously tracks facilities’ data, identifying patterns and suggesting adjustments for the optimisation of HVAC and lighting systems to balance comfort, cost and carbon. The energy consumption patterns are tracked in real time, with actionable insights to cut waste and align with corresponding ESG targets, leading to 10-20% energy savings, a measurable carbon reduction and stronger alignment with net zero commitments.
4. Enhanced Decision-Making & Transparency
Our solutions puts an end to time-wasting endless searching through dashboards and documents, allowing facility and portfolio managers to gain conversational access to all building intelligence, from compliance documents to sensor trends, via natural language queries. Our system provides clear audit trails and evidence based reasoning behind answers and suggestions, improving transparency and accountability. The outcome: smarter, faster and more collaborative decision making across facilities management, sustainability and finance teams.
5. Connected, Scalable, and Future-Proof Infrastructure
Our proprietary RAG based architecture is hardware agnostic, and integrates seamlessly with existing CBRE platforms (CAMF, BMS, IoT systems), ensuring interoperability and scalability across multi-site portfolios. The integrated AI model continuously learns from the inflow of new data, documents and operational partners, staying relevant as assets, occupancy and business priorities evolve. This results in future ready facilities ecosystems that grow in intelligence over time rather than requiring costly system overhauls.
6. Strategic Value Creation
By shifting Facilities Management from a cost centre to a strategic value driver, CBRE’s clients gain competitive differentiation through smarter, more sustainable operations. Improved uptime, lower energy spend and demonstrable ESG impact directly enhance asset value and brand reputation, constituting CBRE a pioneer in intelligent and sustainable FM.
In Summary
CBRE’s clients will experience:
- A significant boost in operational efficiency through predictive and automated maintenance
- Lower energy costs and accelerated progress toward net zero goals
- Smarter, faster decisions enabled by conversational AI and unified data visibility
- Improved service reliability and tenant satisfaction, strengthening client retention
- A future-proof, scalable FM model powered by AI, data, and human expertise
Applications
Our innovation is specifically designed for organisations managing complex, multi-site, and high-value real estate portfolios, where operational efficiency, asset reliability, and sustainability are critical business drivers. The solution is applicable across any sector where facilities management is mission-critical, particularly where energy-intensive operations, regulatory compliance, and employee experience intersect.
The primary target segments would be:
Large corporate and enterprise occupiers within sectors such as the financial services, professional services, technology, pharmaceuticals and life sciences. Usually in multi-building campuses and hybrid working environments with high value assets and significant operational and energy costs. They would benefit significantly from the reduced downtime, optimised energy consumption and enhanced employee and tenant satisfaction through intelligent building management.
Industrial, logistics and data centre operators in facilities with complex machinery, continuous operations and critical uptime requirements; interested in predictive maintenance, automated monitoring and AI driven operational insights that reduce disruptions and enhance safety.
Public sector and large institutional portfolios in government offices, healthcare estates or higher education campuses. Usually operating from compliance heavy, multi site estates requiring cost effective operations and sustainability alignment, whose interest lie in streamlined FM operations, better ESG outcomes and transparent reporting for stakeholders.
High-end commercial real estate, commercial and hospitality investors and owners, landlords managing premium offices, retail facilities or mixed use properties whose value would increase through operational reliability, energy efficiency and superior tenant experiences.
Market Relevance
Our innovation targets organisations with data rich facilities like buildings equipped with IoT, energy monitoring or digital management systems, as well as clients who seek measurable cost savings in FM, sustainability progress and a competitive edge in workforce attraction and retention. Lastly, the solution scales across single buildings to big portfolios, providing fast ROI through predictive, automated and insight driven operations.
In short, the solution is sector agnostic but data driven, optimised for organisations where building performance, operational efficiency and sustainability impact business outcomes. This innovation would position CBRE’s clients to move from reactive FM to proactive, intelligent and value generating facilities management.