Control versus intelligence
For decades, Building Management Systems have been the backbone of commercial building operations, controlling heating, cooling, ventilation and lighting. Yet despite owning the data and controlling the equipment, traditional BMS platforms were not the organisations that pioneered Fault Detection and Diagnostics. That innovation came from independent technology companies focused on analytics, cloud computing and building performance. The answer lies in the difference between controlling a building and understanding how it performs.
Two different questions
BMS vendors historically competed on controller reliability, front-end graphics, BACnet integration, alarm management, trend logging and network architecture. The industry mindset asked: can we control the building effectively? FDD asks something else entirely: can we continuously analyse building behaviour and identify hidden inefficiencies? Answering that requires advanced analytics, rule engines, statistical modelling, machine learning and workflow management — capabilities far closer to a SaaS platform than a controls system.
A different business model
The controls industry traditionally operated on a project-based model: installations, controller upgrades, graphics development, commissioning and maintenance contracts. Once a project completed, the commercial relationship often became reactive. FDD introduced a fundamentally different approach, where value comes from continuous commissioning, ongoing optimisation, subscription analytics and measurable operational outcomes.
Legacy platforms were not built for analytics
Most older BMS architectures were never designed to process data at enterprise scale — limited trend storage, low-resolution data, restricted cloud connectivity, proprietary architectures and poor portfolio-wide visibility. Specialist FDD platforms were built cloud-first to ingest vast quantities of data, normalise it across systems, understand equipment relationships and execute diagnostic rules continuously.
The limits of human-led diagnostics
Historically an engineer attended site, reviewed trend data manually and resolved faults. That worked when buildings were simpler. Today’s assets generate tens of thousands of live data points, millions of data changes daily and hundreds of interconnected control sequences. No engineering team, regardless of experience, can monitor that manually.
The accountability question
True diagnostics reveal simultaneous heating and cooling, failed valves and dampers, sensor drift, overridden plant, poor control sequencing and commissioning defects. Often the organisation maintaining the control system also designed, installed or commissioned it. Independent analytics created separation between the controls layer and the performance verification layer — giving landlords and investors confidence that performance is measured objectively.
Control and intelligence, together
The BMS is the building’s nervous system: it senses, communicates and controls. The FDD platform is the brain: it analyses behaviour, identifies inefficiency and drives improvement. Neither delivers optimum performance alone. Together they form the foundation of genuinely intelligent buildings.
