AiBE brings together the two parts FM teams need most: fast access to trusted operating knowledge, and live visibility into building and work-order context. It does this as a large language model workflow for building operations, with commercial review support built around approved rate references when teams need it.
AiBE keeps knowledge access, live operations, and commercial review connected, so the product stays clear from the first demo through day-to-day use.
Scholar, Operator, commercial review support, and connected systems are designed to work as one operating stack.
AiBE sits across approved knowledge, live operational context, and the next steps teams need to take.
Operations, procurement, and technical teams can all see how the stack fits together without wading through disconnected tools.
Scholar and Operator sit at the centre, with commercial review support alongside them when teams need faster draft pricing and cleaner rate checks.
Scholar organises SOPs, equipment manuals, incident logs, service history, and checklists so teams can find the right answer quickly from approved records.
Operator connects building systems and maintenance workflows so FM teams can create work orders, review live sensor data, and follow up on issues from one place, including via WhatsApp.
Approved schedules of rates, work scope, and asset context can be pulled into a cleaner draft so commercial teams can review faster without losing operational context.
AiBE sits across knowledge, maintenance workflows, and building systems. Commercial review support stays connected instead of drifting into a separate side process.
A single workflow layer across knowledge retrieval, operational action, and commercial review support so teams move faster with cleaner context.
Asset lifecycle tracking, work-order flows, approved rate references, and PPM workflow automation that keep day-to-day FM work moving.
Building automation and IoT context across HVAC, lighting, access control, and energy metering. Real-time sensor data feeds AiBE Operator.
| Capability | Generic AI assistant | AiBE by Primustech |
|---|---|---|
| Fault history retrieval (your assets) | No | Yes, grounded in your service records |
| SOP access for your specific equipment | No | Yes, your actual maintenance procedures |
| Live BMS data queries | No | Yes, connected to live building systems |
| Work order creation in CMMS | No | Yes, with connected maintenance workflows |
| Draft quotations from approved rate references | No | Yes, structured for commercial review |
| Public delivery context buyers can verify | No | Yes, via Primustech company profile and regional proof |
| Deployment-specific security review pack | No | Yes, available during procurement |
| WhatsApp fault reporting | No | Yes, as an AiBE Operator native feature |
AiBE Scholar is the knowledge workflow for FM operations. It indexes equipment manuals, SOPs, service histories, and institutional knowledge so technicians can retrieve the right answer quickly. A technician on-site can ask about a specific fault code, pull an SOP, or review the service history of a specific asset in seconds.
AiBE Operator is the live operations workflow. It integrates with BMS and CMMS so FM heads can create work orders, review live building data, validate faults, and generate energy reports from one working flow, including via WhatsApp. An FM manager can create a chiller work order or retrieve zone temperature readings without extra software training.
AiBE can surface approved schedules of rates, asset context, and service scope so commercial and operations teams start from grounded line items instead of rebuilding every draft from scratch in spreadsheets. We position this as commercial review support layered into the same operating stack.
AiBE connects through Primustech's building integration layer, which supports BACnet, Modbus, KNX, and proprietary BMS protocols. This means AiBE can retrieve live sensor data, trends, and fault states from most existing building management systems without replacing them. The Operator workflow turns a question from the team into the right data pull or action.
AiBE keeps knowledge, live operations, commercial review, and delivery support connected, so teams are not left stitching the story together after the sale.
Confirm the workflow answers from approved FM records instead of drifting into generic AI output.
Check how BMS, CMMS, and IoT signals feed the same operator flow instead of sitting in a disconnected side module.
Make sure rate-reference lookups and draft review support stay close to operations instead of falling back into spreadsheet-only handoffs.
Ask what security review, deployment context, and implementation guidance buyers receive after the first product demo.
This preview gives a feel for how the product works in day-to-day FM use, not just on an architecture slide.
Ask practical FM questions and see how AiBE works across work orders, records, and live operating context.
Optional. This will not type into the preview; it tells us what to cover first if you request a demo.
Try overdue work orders, expiring certificates, or approved rate references.
Most teams continue into industry use cases, commercial HVAC operations, or facilities software detail.
A good next stop for teams comparing AiBE with AI FM, CMMS, and building-operations platforms in Singapore.
See FM software →Explore how the same AiBE stack supports commercial, data-centre, hospitality, semiconductor, and transport environments.
Browse industries →Go deeper on maintenance, chiller operations, and plant-room coordination for commercial HVAC teams.
See commercial HVAC →Request a product demo tailored to your FM environment, systems, and commercial review process. Primustech can show how AiBE fits knowledge access, live operations, and pricing review into one working flow.
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