Manage work orders, assets, preventive maintenance, technicians, contractors, spaces, energy and IoT-connected facilities from one platform — with AI analytics, mobile operations, BIM/GIS integration and real-time dashboards.
AHU-04 — bearing degradation detected from vibration and run-hour trend. Recommended inspection within 6 days.
Facility teams rarely fail through lack of effort. They fail because the asset list, the maintenance schedule, the technician's job card and the contractor's invoice all live in different places.
Statutory and manufacturer schedules generate their own work orders, so compliance does not depend on someone remembering.
One register with location, warranty, condition and full service history — instead of an equipment list that drifted from reality years ago.
Requests reach the right trade automatically with the asset, location and history already attached.
Recurring failures are surfaced as patterns rather than treated as separate incidents each time.
Who attended, when, what was replaced and what it cost — answerable for regulators, insurers and landlords.
Maintenance, energy, contractors and cost reported from the same records the technicians actually use.
Outcomes depend on data quality, asset coverage and how consistently teams adopt the system. We do not publish generic savings percentages we cannot evidence in your environment.
A maintenance database on its own is a records system. What makes it an operations platform is the layers around it — analytics, connected devices, spatial context, a mobile workforce and the enterprise systems that carry the money.
Modules are configured to your operating model rather than switched on wholesale. Most deployments start with assets, PM and work orders, then extend into IoT, energy, BIM/GIS and integration.
Every maintenance decision traces back to whether you actually know what you own, where it is, and what has already been done to it.
Depreciation and financial values are shown where the platform is integrated with your ERP or finance system — the FM platform does not replace the fixed-asset ledger.
A technician scans the tag on the equipment and immediately has the record in front of them — no radio call, no hunting through a folder.
Tagging approach is chosen per asset class — printed QR for most equipment, RFID where hands-free or bulk scanning matters. See smart inspection and our RTLS tracking work.
From the moment someone reports a fault to the moment a supervisor verifies the fix — one traceable chain, with the evidence attached.
"Waiting for Parts" and "Waiting for Contractor" are separated deliberately — both stop the SLA clock for different reasons, and conflating them hides where delay actually comes from.
PPM schedules are built once from statutory, manufacturer and contract requirements, then generate their own work orders with the checklist, trade, parts and SLA already attached.
Typical cycles: daily, weekly, monthly, quarterly, semi-annual, annual, or every 1,000 operating hours.
Preventive maintenance services equipment on a calendar. Predictive maintenance services it when the evidence says it needs attention — which both prevents surprise failures and stops you servicing healthy equipment for no reason.
What prediction requires. Useful predictive output depends on having the input data: condition sensors or controller data on the assets concerned, a reasonable history of faults and work orders, and consistent asset identification. Where that data does not yet exist, we say so and start with condition monitoring rather than promising prediction on day one.
Want to see prediction running against real equipment data?
See Predictive Maintenance DemoThe system is only as good as what gets recorded in the plant room. If closing a job means going back to a desk, it does not get recorded properly.
Offline working. Plant rooms, basements and risers rarely have signal. Offline job access, cached asset data, checklists and photo capture with sync-on-reconnect are configured per deployment — we scope what is genuinely needed rather than assuming every site requires it.
Want to see how a job is raised, worked and closed on site?
See Technician Mobile WorkflowYes — IoT sensors can create work orders automatically. A threshold breach becomes a rule, the rule becomes an alert, and the alert becomes an assigned job with the asset already attached.
A BMS controls plant. The FM platform manages what your people do about what the BMS reports. The two are complementary, and we do not propose replacing a functioning BMS.
Dependency. BMS connectivity depends on the controller generation, the protocol exposed and whether the vendor permits API or gateway access. Fire and elevator systems in particular are often read-only for safety and warranty reasons. Scope is confirmed by survey, not assumed.
Have sensors, meters or a BMS you want feeding maintenance?
Connect Your Building SystemsYes — BIM can be used for facility management. The value is not the 3D picture; it is that the model already knows where every asset sits, what it is, and what it connects to. Linking that to live maintenance records turns a design deliverable into an operations tool.
Digital twin here means a live operational model — building, floors, rooms, assets, sensor status, alarms, open jobs and history — not a rendered walkthrough. Related: RASM digital twin.
Illustrative view. Real models are driven from your Revit/IFC data and live asset status.
Buildings are only part of the estate. Municipalities, campuses, utilities and large developers also maintain assets that sit outdoors and across distances — where a floor plan is the wrong tool and a map is the right one.
Our GIS work is documented across the engineering knowledge hub, including ArcGIS integration and CAD/BIM-to-GIS automation.
Group management compares SLA, maintenance cost, energy, asset health, contractor performance and work-order volume across sites, cities and countries — while each site keeps its own operating detail.
Have Revit models, GIS layers or a distributed estate to bring in?
Discuss BIM/GIS IntegrationEnergy is usually the largest controllable line in a facility budget, and the one with the least visibility between monthly bills.
Illustrative values. Actual baselines are established from your own meter history.
Used for workplace planning, hot-desking, meeting-room demand, departmental allocation and identifying space that is paid for but not used. Occupancy sensors can feed utilisation directly rather than relying on periodic manual surveys.
Cleaning moves from a fixed rota to demand-based work where occupancy or footfall data is available — restrooms serviced against actual use rather than a timetable, with QR check-in proving attendance.
Most facility problems are reported by someone who is not in the facility team. The easier that is, the earlier you hear about faults — and the fewer of them escalate.
An occupant scans the QR sticker in a meeting room and reports an AC fault. The ticket already knows the building, floor, room and the AHU serving that zone — so nobody has to ask "where are you?"
WhatsApp. Implemented through the official WhatsApp Business platform with approved templates. A message is classified, matched to a site and raised as a ticket, with status updates sent back on the same thread. We do not implement unofficial automation of personal WhatsApp accounts.
Free-text complaints are routed to the right trade without the reporter needing to know how you organise your teams.
Optional speech-to-text on calls, with call summary, request classification, ticket creation and priority detection. A human escalation path is always available — the assistant triages, it does not gatekeep.
SLAs only mean something when breaches are visible while they can still be fixed, not in a report at month end.
SLA clocks pause on defined hold states — waiting for parts, waiting for access, waiting for contractor — so performance reflects what your team controlled.
Contractors, contracts, scope, SLA, insurance, trade licence, certifications, work permits, assigned jobs, performance and invoice status — with expiry alerts on every document.
AMC and service contracts, asset warranties, covered assets, start and end dates, renewal terms, vendor and cost, with attachments held against the record.
Alerts fire far enough ahead to actually renegotiate, not the week it lapses.
Part catalogue, stores and bins, minimum stock and reorder levels, reservation against work orders, issue and return, consumption history, supplier and cost.
Where stock accuracy matters, this connects to our warehouse and inventory capability.
Inspection results are evidence. Captured on paper they are hard to search, easy to lose and impossible to trend.
For industrial sites, data centres and large estates, high-risk work can be gated behind an approval workflow before a technician or contractor is allowed to start.
These are configurable workflow and record-keeping tools that support your safety process. They do not constitute regulatory certification, and they do not replace your own competent-person sign-off or statutory obligations.
The operational history is already in the system. The copilot's job is to answer questions from it in plain language, so insight does not depend on knowing how to build a report.
Yes — AI can read your maintenance manuals. Documents are indexed so a technician can ask a question and get the relevant procedure rather than a 400-page PDF.
Retrieval respects the same permissions as the rest of the platform — the assistant returns only what that user is already authorised to see. For government and regulated customers this can run on private or on-premises AI infrastructure so documents never leave your environment.
Rules are written as trigger, condition and action — readable by the FM manager who owns the process, not only by whoever built the system.
Server room sensor exceeds 26°C for 10 minutes
Create critical alert · raise work order · notify HVAC team
Priority 1 job past SLA resolution target
Escalate to supervisor · notify contractor manager
Asset warranty ends within 60 days
Create review task · notify procurement
Same fault logged 3 times on one asset within 30 days
Flag for root-cause analysis · alert maintenance planner
The same platform, configured around very different definitions of "critical".
Multi-site estates, strict audit and procurement, asset lifecycle reporting, GIS for distributed infrastructure, and on-premises deployment where data residency is required.
Critical medical and building assets, statutory inspection regimes, RTLS for mobile equipment, and uptime treated as a patient-safety matter.
Multiple buildings, seasonal maintenance windows, classroom and lab requests, space utilisation and campus-wide asset mapping.
Guest-impacting faults prioritised, room assets and PPM, energy per occupied room, and rapid response before a complaint becomes a review.
Production-critical equipment, permit to work, condition monitoring and predictive maintenance tied to output rather than the calendar.
Common-area maintenance, tenant request portals, contractor and AMC control, service-charge visibility and handover snagging.
Generators, UPS, cooling and power paths with zero-tolerance escalation, inspection regimes and full change evidence.
High-traffic infrastructure, zoned SLAs, permit control and 24/7 shift handover across very large asset counts.
Multi-tenant coordination, chargeable works, contractor access control and common-area service levels.
Four audiences, four different questions — served from the same underlying records.
Total assets, facility health, maintenance cost, SLA, energy, critical risks, contract expiry, site comparison
Open work orders, PM due, overdue jobs, technician availability, contractor performance, asset downtime
My tasks, priority, route, overdue jobs, parts required
Building consumption, anomalies, peak demand, forecast
| System | What flows | Method |
|---|---|---|
| Odoo | Purchase requests, vendors, stock, invoices, cost centres | API / Custom |
| SAP | Purchase orders, materials, vendor master, finance postings | API / Middleware |
| Oracle | Asset finance data, procurement, supplier records | API / Middleware |
| Microsoft Dynamics 365 | Vendors, purchasing, cost allocation | API |
| IBM Maximo | Asset master and work order history during migration | API / Export |
| Esri ArcGIS | Spatial asset layers, campus and utility geometry | API |
| Revit / IFC | Model-linked asset data at handover | File / Custom |
| Active Directory / Entra ID | Single sign-on, users, roles | SSO |
| BMS controllers | Alarms, run hours, sensor readings | BACnet / Modbus / OPC |
| Access control & CCTV | Contractor attendance, permit verification | API |
Integration method matters. None of the above is claimed as a pre-certified native connector. Each is built as API, middleware or custom integration and confirmed against the specific versions, licences and network access in your environment. See ERP system integration and Oracle ERP.
Fixed plant stays where you left it. Portable equipment does not — and time spent looking for it is time not spent maintaining anything. RTLS position can be written back onto the FM asset record.
Achievable accuracy depends entirely on the technology chosen — UWB, BLE or Wi-Fi — and on site conditions. We size that per building rather than quoting a headline figure. See MOWQIE RTLS.
Related capability: AI video surveillance, SIRA-compliant CCTV and cybersecurity for connected building infrastructure.
Government and regulated customers commonly choose private or on-premises architecture. Functionality does not change with the hosting model.
The usual constraint in FM migration is not the transfer — it is that the legacy asset list has drifted from the building. Data review happens during discovery so that is found early, not on go-live day.
Your estate is conventional, your processes can adapt to the product, and you want a known roadmap and vendor support model. Platforms such as Maximo, Planon, Archibus, Infor EAM and the newer mobile-first CMMS tools are well proven in that setting.
You need on-premises deployment for data residency, Arabic-first field users, GIS-located outdoor assets, BIM handover data carried into operations, RFID/RTLS identity, deep ERP coupling, or workflows — permits, chargeable works, service charges — that a fixed product will not bend to.
We also integrate with or migrate from these platforms rather than always replacing them. If an existing system is serving you well, extending it is usually the cheaper honest answer.
Facility management software is a system for managing buildings, assets and maintenance operations in one place. It holds the asset register, schedules preventive maintenance, raises and tracks work orders, manages technicians and contractors, and reports on cost, compliance and service levels.
CAFM stands for Computer-Aided Facility Management. It focuses on the building and the space — floor plans, rooms, occupancy, moves, and the assets within those spaces — alongside maintenance and service requests.
CMMS stands for Computerised Maintenance Management System. It concentrates on maintenance execution: the asset register, preventive maintenance schedules, work orders, spare parts and maintenance history.
CMMS is maintenance-led and asset-centric; CAFM is building-led and space-centric. CMMS answers "is this equipment maintained?", CAFM also answers "how is this building used?". Most enterprise deployments today need both, which is why the Swedish Technology platform covers maintenance, assets, space and service requests together.
Yes. The hierarchy runs organisation, country, city, site, building, floor, zone, room and asset. Each site keeps its own operating detail while group management compares SLA, cost, energy, asset health and contractor performance across the estate.
Yes. Schedules can be driven by date, frequency, runtime hours, meter readings, usage, season, manufacturer recommendation or contract requirement, and each occurrence generates its work order, checklist, assignment, parts and SLA automatically.
Yes, where the supporting data exists. Prediction needs condition data from sensors or controllers, a reasonable history of faults and work orders, and consistent asset identification. Without those inputs we start with condition monitoring and build toward prediction rather than claiming it from day one.
Yes. A sensor event is evaluated against a rule or model, becomes an alert with a severity, and raises a work order against the correct asset with the technician assigned — without anyone watching a screen.
Yes, subject to what the BMS exposes. Integration typically uses BACnet, Modbus, OPC, MQTT or a vendor REST API. Whether a given system can be read from, or written to, depends on the controller generation and the vendor's access policy, so this is confirmed by survey. The FM platform complements a BMS rather than replacing it.
Yes. Revit and IFC data can be linked so assets carry their model location and metadata into operations, and technicians can find equipment in 3D, open its history and see open work orders against its real position.
Yes. GIS integration is used for outdoor and distributed assets — streetlights, pumping stations, utilities, parks, signage and remote buildings — and for campus and multi-building visualisation.
Yes. Assets can carry QR, barcode or RFID identity. Scanning opens the asset record with its manuals, maintenance history, open work orders, warranty status and recent sensor readings.
Yes. Technicians receive work orders, scan assets, view history and manuals, run checklists, record readings and parts, attach photos and signatures, and close or escalate jobs from the field.
Offline job access, cached asset data, checklists and photo capture with sync on reconnection are configured per deployment. Plant rooms and basements rarely have coverage, so we scope offline behaviour against your actual sites rather than assuming it everywhere.
Yes. Requests can come from a web portal, mobile app, QR code in the room, call centre, email, WhatsApp Business, kiosk or API, and a tenant portal can expose status tracking, documents, announcements and satisfaction rating.
Yes, through the official WhatsApp Business platform with approved message templates. A message is classified, matched to a site and raised as a ticket, with status updates returned on the same thread. We do not automate personal WhatsApp accounts.
Yes. Contractors, contracts, scope, SLA, insurance, trade licence, certifications and work permits are tracked, with assigned jobs, performance scoring, penalties and invoice status, plus expiry alerts on every document.
Yes. Part catalogue, stores and bins, minimum stock and reorder levels, reservation against work orders, issue and return, consumption history, supplier and cost — with optional barcode or RFID identification.
Yes. Odoo integration typically covers purchase requests, vendors, stock, invoices and cost centres. It is built as an API or custom integration and scoped against your Odoo version and modules.
Yes, via API or middleware, commonly for purchase orders, materials, vendor master data, asset finance information and cost allocation. We do not describe these as pre-certified native connectors; scope is confirmed against your versions, licences and network access.
Yes. Cloud, private cloud, UAE-hosted, on-premises and hybrid deployments are all supported, and the available functionality does not change with the hosting model. Government and regulated customers frequently choose on-premises for data residency.
Yes. Arabic and English interfaces with right-to-left layout are supported, which matters where field and technician teams work in Arabic while management reports in English.
Yes. Electricity, water, gas, district cooling and solar can be monitored with consumption, cost, peak demand, baseline variance and energy per square metre, and AI can flag abnormal overnight use, HVAC running outside schedule and equipment drifting from its own baseline.
Yes to both. The copilot answers questions about assets, work orders, SLA failures and repeated faults in plain language, and manuals, SOPs and procedures can be indexed so technicians retrieve the relevant procedure instead of searching a long PDF. Retrieval respects existing user permissions, and can run on private or on-premises AI infrastructure.
Yes — from Excel, CSV, a legacy CMMS or CAFM, ERP asset lists, BIM/Revit data, GIS databases, or platforms such as Maximo where export or API access permits. The migration path is discover, clean, map, import, validate, go live. The common constraint is legacy data quality rather than the transfer itself.
Look for Arabic and English interfaces, deployment options that satisfy your data-residency position, multi-site hierarchy, mobile working that survives poor coverage in plant rooms, integration with your existing ERP and building systems, and honest scoping of what integration actually requires. Statutory inspection regimes and contractor documentation control also matter more here than generic feature lists suggest.
Tell us what buildings, assets, systems and maintenance teams you manage. Swedish Technology can configure the FM platform around your operating model — and tell you plainly where an existing product would serve you better.
3D building and asset visualisation connected to live operational data.
Real-time location for tools, equipment and mobile assets across your sites.
Document intelligence, computer vision and private on-premises AI infrastructure.
Connect maintenance to procurement, inventory and finance.