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 |
| 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 | IoT sensor data, ERP systems for procure-to-pay, and HRMS through the time and attendance (T&A) module. Other integrations are scoped for each project. |
| Support | 24/7 through HITEK AI’s Command and Control Center |
| Suitable for | SMEs and large enterprises, single buildings to multi-site portfolios |
| Access | CAFMTEK uses its own account. Maestro FM, which includes CAFMTEK, needs a separate Maestro FM account. |
Modules
| Module | What it does |
|---|---|
| Dashboard | The landing view. Live work order status, PPM compliance, SLA performance and outstanding actions, scoped to each user’s contracts and permissions. |
| Reports | Turns any enabled module into a formatted export. Pick a template, set dates, filters and columns, then generate Excel or CSV. Templates can be scheduled to email automatically. |
| Contract Management | Client contracts with reference, duration, value, status and assigned locations. Each contract carries its own processes, SLAs and rules, so work orders, PPM and approvals stay in the right scope. |
| Subcontractor Management | One register for every subcontractor, holding company details, licences, certifications, and risk and performance ratings, with a dashboard showing the health of the whole subcontractor base. |
| SLA & KPI Management | Turns contractual SLAs into measurable targets. Each contract gets its own SLA rules by priority, so every request is held to what was agreed. |
| Resource Planner | A live view of who is working on what across every contract. Day, week, month and list roster views showing availability, coverage and utilisation, with a productivity dashboard. |
| Facilities Management | The location hierarchy every other module points to. Clients define their own tiers, such as campus, building, floor and zone. Includes QR labels, map pinning with geofences and area measurements. |
| Asset Management | The master inventory of everything you maintain. Each asset carries a code, full classification, a criticality rating, its place in both the equipment and location hierarchies, attached documents and live maintenance history. |
| Snagging | Field inspection and defect capture. Genuine defects convert automatically into work orders with SLAs, while clean condition records close as asset survey baselines. Also sold on its own as CONDTEK. |
| PPM Management | Recurring maintenance by asset, location or asset group, at any frequency, converted automatically into assigned work orders. Includes bulk upload of annual plans, a visual calendar planner and overnight generation of the next day’s tasks. |
| Task Management | The work order engine. Reactive maintenance, corrective actions and service requests in one register, with approval paths, SLA monitoring, a unique reference per job and a full audit trail. |
| Customer Satisfaction Survey | A rating captured for every completed work order, linked back to the record, and consolidated into a dashboard and a monthly report. |
| Self Services | Lets anyone report an issue through a no-login public QR form, the mobile app or the web, and turns it into a tracked service request with its own response and resolution SLA. |
| Helpdesk | Brings every request into one place whichever channel it arrived through: phone, email, WhatsApp, portal form or a QR sticker. Each one is captured, reviewed, turned into work, tracked against its SLA and closed with the requester’s rating. |
| Store Management | Warehouse stock with per-store levels, minimum and reorder thresholds. Technicians request materials for jobs, chargeable items go for cost approval, and returns and inter-store transfers have their own workflows. |
| Energy Management | Utility consumption capture, carbon accounting, tariff-based costing and analytics across every contract, with readings entered on site. |
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 |
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
CAFMTEK is a standalone CAFM system. Organisations that need it together with other HITEK AI products, such as CONDTEK or TRACKTEK, use Maestro FM, HITEK AI’s unified platform, which includes CAFMTEK with the same CAFM features.