End of a Year: Why Monitoring is No Longer Enough for Smart Buildings

In 2025, the PropTech landscape hit a turning point. At Sensgreen, we realized that the industry was drowning in data but starving for action. This realization defined our year: we evolved from a “monitoring tool” into an Operational Decision Layer.

For us, AI is not a generic dashboard or a set of pretty charts. It is the engine sitting on top of your existing infrastructure that turns BMS, IAQ, and Energy data into three things: diagnosis, prioritized actions, and control-ready recommendations. Here is how we moved beyond the surface to productize AI-driven operations this year.

The Blueprint: Our Three-Stage AI Pipeline

To deliver real value to facility teams, we established a clear workflow that makes building intelligence tangible rather than abstract.

• Connect: We bridge the gap between fragmented systems. Whether it’s BMS points (BACnet/Modbus/KNX), wireless sensors (LoRaWAN, NB-IoT), or existing meters, we ingest the critical variables—temperatures, valve positions, plant signals, and energy parameters.

• Understand: This is where we make sense of the noise. Our engine spots unusual behavior, identifies the drivers behind it, and detects “fighting loops”—those hidden scenarios where heating and cooling systems work against each other.

• Act: We turn insights into clear marching orders. This includes recommended setpoints, optimized schedules, and governance-grade reports that ensure operations remain consistent across an entire portfolio.

Moving Deep: Concrete BMS Analytics

Real optimization happens at the equipment level. In 2025, we pushed our analytics into the core assets that drive building OPEX:

1. Plant & AHU Optimization: We now evaluate chiller staged operation and AHU ventilation adequacy against actual occupancy-aware demand.

2. Logic Validation: Our system detects setpoint drift and identifies FCUs operating out-of-hours or against thermostat logic.

3. Fault Detection & Diagnosis (FDD): We’ve moved beyond simple alarms to diagnose the root causes of sensor drift, stuck dampers, and abnormal cycling.

Impact in Action: 2025 Case Studies

Standardizing Governance in Dubai

Managing 80 residential buildings is a massive task. We integrated IAQ intelligence and HVAC benchmarking to ensure compliance across this multi-site footprint.

• The Result: The facility team moved from reactive “firefighting” to portfolio prioritization. They now start their day knowing exactly which building needs their attention first.

Driving ROI in the Philippines

In a large-scale smart AC control deployment, we focused on improving schedules and setpoints based on real occupancy patterns.

• The Result: By reducing wasted runtime, we achieved a 12% energy reduction—roughly 6,000 fewer runtime hours per month, with significantly less manual intervention required from the team.

Solving the Facility Manager’s Pain Points

At its core, our AI-driven approach is designed to solve three fundamental challenges in FM:

• Clear Priorities: No more guessing. See which system needs you most.

• Clear Reasons: Understand the why behind the issue, not just the fact that an alarm went off.

• Less Manual Work: Get recommended next steps that accelerate resolution cycles.

Looking Ahead: AI in 2026

In 2026, our focus is simple: Faster Execution. We are working toward a future where building improvements happen in a heartbeat. This includes automation you can trust, turning recommendations into tested control logic to build automation in seconds. We are also expanding “same issue, same fix” workflows to apply proven improvements across hundreds of buildings simultaneously, backed by audit-ready ESG reporting.