CAFMTEK Fact Sheet
In short
CAFMTEK is HITEK AI's cloud-based, AI-enabled CAFM software for facilities management teams. It manages assets, preventive maintenance, work orders, space, SLAs, contracts, inventory and procurement through web, Android and iOS apps, with a built-in WhatsApp chatbot for issue reporting and AI modules for fault detection and predictive maintenance.
What CAFMTEK is
CAFMTEK is computer-aided facilities management (CAFM) software developed in-house by HITEK AI, a smart building and FM technology company with offices in Dubai and Riyadh. Facilities teams use it to:
- record assets and space
- plan preventive maintenance
- create and track work orders
- measure SLAs and KPIs
- report on operational and sustainability performance
Managers work in the web app. Field teams use the Android and iOS apps.
CAFMTEK is available on its own. It is also one of the products included in Maestro FM, HITEK AI’s complete AI-driven FM package.
Key facts
| Product type | CAFM software |
| Developer | HITEK AI (developed in-house) |
| Delivery model | Cloud-based SaaS |
| Hosting and data location | [CONFIRM] |
| Access | Web browser, Android, iOS and tablets |
| Issue reporting | Web, mobile apps and a built-in WhatsApp chatbot |
| User licence types | Administrator, Supervisor or Manager, Workforce, Community subscription for residents |
| AI features | Included as standard. Fault detection and diagnostics, predictive maintenance and suggested PPM intervals are built in, not paid add-ons. |
| Integrations | BMS, smart meters, IoT sensors, ERP (procure-to-pay), energy and carbon tracking systems |
| Support | 24/7 through HITEK AI’s Command and Control Center |
| Suitable for | SMEs and large enterprises, single buildings to multi-site portfolios |
| Languages | [CONFIRM] |
| Access | CAFMTEK uses its own account. Maestro FM, which includes CAFMTEK, needs a separate Maestro FM account. |
Modules
| Module | What it does |
|---|---|
| Asset Management | Tracks asset status, warranties, movement, usage, health and lifecycle history. |
| Preventive Maintenance | Automates recurring maintenance from PPM job plans and schedules. |
| Work Order Management | Creates, assigns, escalates and tracks work orders, with alerts and status updates on mobile. |
| Helpdesk & WhatsApp Chatbot | Lets users log issues and service requests in real time through a built-in WhatsApp chatbot. |
| Space Management | Allocates space, manages room bookings and analyses space usage. |
| SLA & KPI Management | Defines SLA timings, tracks contractor performance against them, and monitors KPIs. |
| Contract & Vendor Management | Manages contracts and digitises contract documentation. |
| Inventory Management | Tracks consumables, spare parts and stock levels in real time. |
| Purchase Requests & Purchase Orders | Raises and tracks procurement requests, with optional ERP integration. |
| Snagging & Auditing | Records snags, runs audits and keeps automated audit trails for safety and quality compliance. |
| Dashboards & Reports | Real-time KPI dashboards and performance reports. |
| Sustainability Insights | Links FM operations to energy, water, waste and carbon footprint goals. |
| Mobile Apps | Android and iOS apps for technicians, supervisors and residents. |
| System Administration | User accounts, roles and system configuration. |
AI capabilities
Fault Detection and Diagnostics (FDD)
FDD connects to BMS, smart meters and sensors to monitor HVAC and electrical assets in real time. When a reading breaches a threshold, CAFMTEK raises an alarm and creates a work order automatically. It then assigns the work order to a technician with the right skill set, and closes the alarm once the issue is resolved. Users can set their own thresholds.
Predictive maintenance for HVAC assets
Machine learning models combine trends, historical failure data and real-time readings to calculate a failure probability score for each HVAC asset. An alert is triggered when the score passes a set threshold.
Anomaly detection for electrical assets
For main distribution boards (MDBs), CAFMTEK learns an expected operating range for each parameter from historical data. The ranges adjust for building consumption patterns, seasonal variation, equipment type and load profile. Parameters monitored:
- Total energy consumption (kWh)
- Average current (A)
- Average voltage (V)
- Total power (kW)
- Power factor
When a reading moves outside its expected range, CAFMTEK flags the anomaly. It also shows how much each parameter contributed, which points technicians to the likely cause.
Suggested PPM intervals
CAFMTEK compares each asset’s current PPM schedule with its fault history:
- Few or no failures over a long period: it suggests extending the maintenance interval.
- Rising failures: it suggests shortening the interval.
Reliability metrics
CAFMTEK tracks Mean Time Between Failures (MTBF) and Mean Time to Repair (MTTR). A falling MTBF trend is used as an early sign that an asset is approaching failure.
Who uses CAFMTEK
| User | Access | Typical use |
|---|---|---|
| Administrator | Web | System setup, users and configuration |
| Supervisor or Manager | Web and mobile | Planning, assigning and monitoring work, SLAs and KPIs |
| Workforce (technicians) | Mobile | Receiving, updating and closing assigned work orders |
| Residents | Web and mobile (community subscription) | Raising service requests [CONFIRM scope] |
CAFMTEK is used by facility managers, property developers, maintenance contractors and corporate real estate teams. Typical sites include commercial buildings, hospitals, schools, malls, warehouses and residential complexes.
Integrations
- BMS, smart meters and IoT sensors: live data for FDD, predictive maintenance and anomaly detection.
- ERP: procure-to-pay integration for purchase requests and orders.
- Energy and carbon tracking systems: data for Sustainability Insights.
- Other third-party systems: scoped for each project.
What you need to get started
Before go-live, the client and HITEK AI prepare:
- Asset data
- Location register
- SLA timings
- PPM job plans
- PPM schedules
- Problem codes
- Audit module setup
- User accounts
Training is then delivered to users. Implementation runs in four phases: kick-off, installation, testing and commissioning, and go-live.
Limitations to know
- Prediction accuracy depends on your data. The AI models need live data points and maintenance history for each asset, and these vary from building to building. More data points and a longer history give more accurate predictions.
- MDB failure prediction is currently based on historical maintenance records. It uses patterns such as the time between past failures and recurring component issues.
- CAFMTEK is not a building management system. It manages maintenance work, assets and service levels. Equipment control is handled by a BMS such as HITEK AI’s BMSTEK, which CAFMTEK can take data from.
Related products
- Maestro FM: HITEK AI’s complete AI-driven FM package, which includes CAFMTEK.
- BMSTEK: HITEK AI’s building management system for HVAC, lighting, water, fire, access control and lift systems.
- CONDTEK: asset tagging software that captures asset data.
- IOTEK: IoT sensors and remote monitoring.