Question 1

How does predictive maintenance reduce costs compared to reactive maintenance?

Accepted Answer

Reactive maintenance - fixing things after they break - costs 3-5 times more than preventive or predictive approaches. Our AI monitors equipment sensors, energy consumption patterns, and historical failure data to predict when HVAC compressors, lift motors, fire pumps, and other critical assets will need servicing. By scheduling maintenance before failure, you avoid emergency call-out fees (typically $250-$500 premium), minimise tenant disruption, extend equipment lifespan by 20-30%, and reduce energy waste from degraded equipment. A typical 10,000 sqm commercial building saves $40,000-$80,000 per year switching from reactive to predictive maintenance.

Question 2

What building systems can the AI monitor?

Accepted Answer

Our platform monitors all major building systems: HVAC (heating, ventilation, air conditioning), lighting, fire safety (detection, suppression, emergency lighting), lifts and escalators, electrical distribution, plumbing and water systems, access control and security, parking management, and solar/energy systems. We connect via BACnet, Modbus, LonWorks, or REST API to your existing Building Management System (BMS). For buildings without a BMS, we provide IoT sensor kits that install without disrupting existing infrastructure.

Question 3

How much can AI reduce building energy costs?

Accepted Answer

Smart buildings using AI energy management typically achieve 20-30% energy savings. The AI optimises HVAC scheduling based on actual occupancy rather than fixed schedules, dims lighting in unoccupied areas, balances energy loads across peak and off-peak tariff periods, and identifies equipment running inefficiently. For a commercial building spending $200,000 per year on energy, that represents $40,000-$60,000 in annual savings. The system also tracks solar generation, battery storage, and demand response opportunities where available.

Question 4

Does this handle fire safety and Essential Safety Measures (ESM) compliance?

Accepted Answer

Yes. Australian commercial buildings must comply with Essential Safety Measures under the Building Act 1993 (VIC), Environmental Planning and Assessment Act (NSW), and equivalent legislation in other states. Our AI tracks all scheduled maintenance for fire detection systems, sprinklers, emergency lighting, exit signs, fire doors, hydrants, and stairwell pressurisation. It generates Annual ESM Reports automatically and alerts facility managers 30 days before any inspection is due. Non-compliance can result in fines exceeding $100,000 and personal liability for building owners.

Question 5

How does space utilisation analytics work?

Accepted Answer

The AI uses occupancy sensors, desk booking data, Wi-Fi connection counts, and access card swipes to calculate real-time and historical space utilisation rates for every floor, zone, and meeting room. Average Australian commercial buildings utilise only 40-60% of their space. Our analytics identify underused areas suitable for hot-desking, consolidation, or subletting. The dashboard shows heat maps of hourly, daily, and seasonal occupancy patterns, helping you make data-driven decisions about lease renewals, fit-outs, and work-from-home policies.

Question 6

Can it manage work orders and vendor coordination?

Accepted Answer

Absolutely. The AI generates work orders automatically when predictive maintenance triggers an alert or when a tenant reports an issue. Work orders are routed to the correct vendor based on trade, location, priority, and existing contracts. Vendors receive mobile notifications with job details, access instructions, and required parts lists. The system tracks response times, completion rates, and vendor performance scores. Tenants can submit maintenance requests via a self-service portal and receive real-time status updates - eliminating the need for follow-up calls to your facilities team.

Question 7

What is the ROI for a typical commercial building?

Accepted Answer

For a 10,000 sqm commercial building with 200 occupants and $500,000 in annual operating costs, typical first-year savings include: energy optimisation ($50,000-$75,000), predictive maintenance ($40,000-$60,000), space consolidation ($30,000-$50,000), and work order efficiency ($15,000-$25,000). Total first-year savings of $135,000-$210,000 against a platform cost of approximately $50,000-$80,000 per year represents a 2-4x ROI. Savings compound annually as the AI learns building-specific patterns and optimises further.

Question 8

How quickly can we get started?

Accepted Answer

Most commercial buildings are fully onboarded within 2-4 weeks. Week 1 involves connecting to your existing BMS or installing IoT sensor kits. Week 2 covers historical data import, equipment asset registration, and vendor setup. Weeks 3-4 are calibration, where the AI learns your building specific patterns. Basic dashboards and work order automation are available from day one. Predictive maintenance accuracy improves continuously over the first 3 months as the AI accumulates building-specific operational data.

Smarter Buildings, Lower Costs

Building Sensors

Most Buildings Are Managed Reactively

Calculate Your Building Savings

Your Savings Estimate

From Sensors to Smart Operations

Connect Systems

Monitor Everything

Predict & Schedule

Optimise & Report

Complete Building Intelligence

Predictive Maintenance

Energy Optimisation

Space Utilisation Analytics

Work Order Automation

ESM Compliance

Compliance Scheduling

Building Analytics

Indoor Air Quality

Vendor Management

Frequently Asked Questions