AI-Powered Enterprise Facility & Workplace Intelligence Platform
QuickFMS is an AI-powered Integrated Workplace Management System (IWMS) and Computer-Aided Facilities Management (CAFM) platform built on Microsoft Azure. It helps enterprises reduce operational costs, optimise workplaces, automate maintenance, and make smarter decisions using Azure AI, Power BI, and Copilot-ready intelligence.
QuickFMS connects people, places, assets, and operations to deliver real-time visibility, automation, and actionable insights across multi-site, global environments.
Business Outcomes
- Reduce operational and facility costs
- Optimise workplace and space utilisation
- Improve asset reliability and maintenance
- Strengthen compliance and governance
- Gain real-time executive visibility
Executive Insights
Helps leaders answer: Which buildings cost the most? Which assets are likely to fail? Where are we losing money? How much space is unused? Which leases should be renegotiated?
Enterprise AI Assistant
Predicts asset failures, summarises operational issues, identifies underperforming branches, and highlights underutilised space.
Measurable Business Value
- Up to 60% reduction in maintenance admin
- 15–30% increase in workplace utilisation
- Extended asset life via predictive maintenance
- Lower lease, energy, and maintenance costs
- Improved SLA compliance and employee satisfaction
Why Microsoft Customers Choose QuickFMS
- Built natively on Microsoft Azure
- Azure AI and Copilot-ready architecture
- Power BI executive dashboards
- Integrates with Microsoft Teams, Entra ID & Power Platform
- Modular, enterprise-scale deployment across multi-site, multi-country operations
Trusted Across Industries
Banking • Insurance • Healthcare • Retail • Manufacturing • IT • Government • Education • Utilities • Real Estate
Ideal For
Enterprises with 1,000+ employees across multiple locations or 2,500+ at a single site; hybrid workplaces; large maintenance teams with compliance requirements.
Business Scenarios
Corporate real estate optimisation • Digital facilities • Workplace experience • Predictive maintenance • Hybrid workplaces