Industry Scenarios
One CAFM. Every industry.
Hypothetical scenarios showing how the same platform tools adapt across FM, public sector, housing, healthcare, and education.
Illustrative scenarios, not delivered engagements. These vertical examples show how Jarsis Platform adapts. They are not based on specific named clients. Real customer references are available on request once we've signed an NDA.
Facilities Management
Facilities Management
Reactive, planned, and contract-driven FM operations on one platform.
FM teams juggle reactive repairs, planned maintenance, and contractor coordination across dozens of sites, usually with spreadsheets and legacy systems that weren't built for the pace of modern contracts. Jarsis Platform replaces that patchwork with one configurable CAFM.
Reactive Repairs and AI Triage
The challenge
Consider a national FM provider managing thousands of buildings across multiple client contracts. Helpdesk operatives manually read every repair request, assign a service class, pick a category, and route it to the right contractor. Misclassification is common, SLA clocks start late, and first-time fix rates suffer.
How Jarsis Platform solves it
Tenants and building managers submit requests through the Self-Service Portal, scoped to their building and floor. The Classification Engine extracts individual issues from free text, narrows candidates by location and contract, and classifies each issue against only the relevant service classes. High-confidence results are instant. Corrections feed back as few-shot examples, so accuracy improves with every ticket.
Targeted outcomes
- Target outcome: misclassification below 3%
- Designed to: start SLA clocks within seconds of submission
- Built for: redirecting helpdesk teams from triage to exception handling
- Target outcome: 90%+ reduction in AI processing cost vs naive approach
Illustrative scenario, not a delivered engagement. Reference customers available on request.
Planned Preventative Maintenance
The challenge
Picture an FM team where PPM schedules live in spreadsheets exported from a legacy CAFM. Engineers receive paper job packs. Completed work is keyed back in days later. Compliance evidence is scattered across shared drives with no audit trail linking an inspection to its asset.
How Jarsis Platform solves it
Assets, PPM schedules, and inspection templates are modelled as entities in the Entity Designer. A CSV ingestion pipeline imports the legacy asset register with column mapping and validation. Workflow Builder triggers jobs on schedule, assigns engineers, and captures completion evidence against the asset record. Outbound integrations push completed jobs to the client's reporting portal via webhook.
Targeted outcomes
- Designed to: deliver PPM compliance visibility in real time, not monthly reports
- Capability: engineers receive and complete jobs on mobile
- Built for: linking every inspection to its asset with timestamped evidence
- Designed to: update client reporting portals automatically on job close
Illustrative scenario, not a delivered engagement. Reference customers available on request.
Multi-Contract SLA Dashboard
The challenge
Consider an FM company holding contracts across housing, corporate, and public sector clients. Each contract has its own SLA targets, KPI definitions, and reporting formats. Producing monthly reports can absorb days of analyst time per contract.
How Jarsis Platform solves it
Each contract's SLA structure is modelled as its own entity set with custom fields for response time, fix time, and penalty thresholds. Page Builder assembles client-facing dashboards that pull live data from entity records. AI auto-generates narrative summaries of performance trends, constrained to the specific contract's terminology. Every summary is logged for full traceability.
Targeted outcomes
- Target outcome: monthly reports generated in minutes, not days
- Capability: clients access live dashboards scoped to their contract
- Built for: AI summaries constrained to contract language and fully auditable
- Designed to: redirect analyst time to exception analysis and improvement
Illustrative scenario, not a delivered engagement. Reference customers available on request.
Banking & Financial Services
Banking & Financial Services
Operational workflows with the audit trails your regulators expect.
Financial institutions run complex internal operations where every process needs to be traceable and controlled. Internal service desks, branch operations, onboarding workflows, and routine checks all need clear accountability. Jarsis Platform gives you the flexibility of a low-code tool with the control of an enterprise system.
Internal Service Desk with Regulatory Audit
The challenge
Imagine a retail bank's internal IT and facilities service desk handling thousands of tickets per month. Regulators require evidence that every request was classified, prioritised, and resolved within defined SLAs. Existing tools produce no AI audit trail.
How Jarsis Platform solves it
Tickets are modelled as entities with fields for classification, priority, SLA target, and resolution. The Classification Engine auto-triages incoming requests, and every AI decision is logged with the full context, output, and confidence score, giving you the audit trail regulators expect, generated automatically.
Targeted outcomes
- Built for: a full AI audit trail on every classification decision
- Designed to: produce regulator-ready reporting without manual evidence gathering
- Capability: classification accuracy improves over time via feedback loop
- Built for: AI transparency without additional tooling
Illustrative scenario, not a delivered engagement. Reference customers available on request.
Branch Operations Workflow
The challenge
Picture a bank where branch managers submit facilities and IT requests via email. There is no standard process, no tracking, and no visibility for regional managers. Urgent requests get lost in inboxes.
How Jarsis Platform solves it
Branch managers use the Self-Service Portal scoped to their branch and region. Workflow Builder routes requests based on category, urgency, and branch location. GOV.UK Notify sends status updates. Outbound integrations sync resolution data to the bank's central reporting warehouse.
Targeted outcomes
- Designed to: track every request from submission to resolution
- Capability: regional managers see live status across all branches
- Built for: auto-escalating urgent requests via workflow rules
- Designed to: update the central warehouse in real time via webhooks
Illustrative scenario, not a delivered engagement. Reference customers available on request.
Logistics & Distribution
Logistics & Distribution
Fleet, depot, and distribution operations coordinated in one system.
Logistics companies operate across depots, fleets, and distribution networks where downtime has an immediate commercial impact. Reactive repairs to vehicles and warehouse equipment, planned maintenance schedules, and health and safety inspections all need to be tracked with precision. Jarsis Platform models each depot, vehicle, and maintenance schedule as configurable entities.
Fleet Maintenance and Defect Reporting
The challenge
Consider a logistics operator where drivers report vehicle defects on paper walkaround checks. Sheets are collected at depot and keyed in by administrators. Critical defects can go unactioned for hours.
How Jarsis Platform solves it
Drivers submit defect reports through the Self-Service Portal on a mobile device, scoped to their depot and assigned vehicle. The Classification Engine categorises the defect by system (brakes, lights, bodywork) and severity. Workflow Builder triggers immediate escalation for safety-critical defects and schedules routine items into the next available maintenance slot. Fleet data is ingested from the existing TMS via API webhook.
Targeted outcomes
- Designed to: escalate safety-critical defects in real time
- Target outcome: paper walkaround checks eliminated
- Built for: linking defect data directly to vehicle asset records
- Capability: existing TMS data ingested and kept in sync
Illustrative scenario, not a delivered engagement. Reference customers available on request.
Depot Facilities and Compliance
The challenge
Picture a distribution network where each depot manages its own facilities requirements: racking inspections, fire system checks, dock leveller maintenance. Evidence is held locally with no central visibility.
How Jarsis Platform solves it
Depots, assets, and inspection types are modelled as entities. Workflow Builder schedules inspections by asset type and frequency. Engineers capture evidence against the asset record. Page Builder creates a central dashboard showing inspection status across all depots. AI auto-generates exception reports for overdue inspections.
Targeted outcomes
- Designed to: provide central visibility across every depot from one screen
- Built for: flagging overdue inspections automatically
- Capability: inspection evidence linked to asset records with timestamps
- Designed to: generate exception reports via AI, saving analyst time
Illustrative scenario, not a delivered engagement. Reference customers available on request.
UK Public Sector
UK Public Sector
Accessibility, authentication, notifications, and AI transparency, all built in.
Public sector organisations have standards to meet: accessible services, government authentication, approved communication channels, and transparency around any AI use. Most platforms treat these as expensive add-ons. Jarsis Platform includes all of them natively.
Citizen Service Requests
The challenge
Imagine a local authority receiving thousands of service requests per month across housing repairs, environmental services, and planning enquiries. Citizens authenticate through multiple systems. Communications go out via non-standard channels.
How Jarsis Platform solves it
Citizens sign in with GOV.UK One Login and submit requests through a fully accessible portal. The Classification Engine routes each request to the correct department. GOV.UK Notify sends confirmation and updates through the trusted government channel. Every AI classification is logged automatically for full transparency.
Targeted outcomes
- Capability: single sign-on with GOV.UK One Login
- Built for: communications through GOV.UK Notify
- Capability: fully accessible out of the box
- Designed to: generate AI transparency records automatically
Illustrative scenario, not a delivered engagement. Reference customers available on request.
Internal Operations with AI Transparency
The challenge
Consider a government department using AI to assist with document triage and case categorisation, but unable to demonstrate algorithmic transparency to auditors. No structured record exists of what the AI was asked, what it returned, or how it was used.
How Jarsis Platform solves it
Every AI capability is governed by a rule you define. Document Intelligence extracts metadata and classifies content, with every invocation fully logged, what went in, what came out, which model, and what it cost. Workflow Builder routes cases based on the AI classification, and human review steps are built in for low-confidence results.
Targeted outcomes
- Designed to: let auditors inspect every AI decision end-to-end
- Built for: transparency records generated without manual effort
- Capability: low-confidence AI results routed to human review
- Target outcome: document triage time reduced significantly
Illustrative scenario, not a delivered engagement. Reference customers available on request.
Housing & Property
Housing & Property Management
Tenant requests, repairs, and safety certificates across your entire portfolio.
Housing associations and property managers deal with high volumes of repair requests, cyclical safety programmes (gas, electrical, fire), void turnarounds, and tenant communications. Jarsis Platform models properties, tenancies, assets, and contractors as entities, with AI classification handling the incoming request volume and workflows managing the lifecycle of every job.
Tenant Repairs Portal
The challenge
Picture a housing association managing thousands of properties and receiving hundreds of repair requests per week by phone. Call handlers spend several minutes per call classifying the issue and booking an appointment. Wait times are long and tenants are frustrated.
How Jarsis Platform solves it
Tenants report repairs through the Self-Service Portal, scoped to their property and tenancy. The Classification Engine identifies the trade (plumbing, electrical, roofing), priority (emergency, urgent, routine), and the specific SOR code. Workflow Builder assigns the job to the appropriate contractor based on trade and location. GOV.UK Notify sends appointment confirmations and completion updates.
Targeted outcomes
- Target outcome: 60%+ of repair requests submitted online, reducing call volume
- Designed to: classify to SOR code level with improving accuracy
- Built for: contractors receiving jobs with full property and access details
- Capability: tenants receive automated updates at every stage
Illustrative scenario, not a delivered engagement. Reference customers available on request.
Compliance Programme Management
The challenge
Consider a housing organisation where gas safety, electrical testing, and fire risk assessments each run on separate systems with separate schedules. The compliance team manually reconciles data across systems to produce a single view of certificate status.
How Jarsis Platform solves it
All compliance programmes are modelled as entities: certificates, assets, properties, and schedules. Legacy certificate data is imported via CSV ingestion with validation rules. Workflow Builder triggers jobs before certificate expiry and escalates overdue items. Page Builder creates a single compliance dashboard showing status across all programmes and properties.
Targeted outcomes
- Designed to: provide a single view of compliance status across all programmes
- Built for: triggering jobs automatically before certificate expiry
- Capability: legacy data imported with full validation and error handling
- Designed to: escalate overdue items through configurable workflow rules
Illustrative scenario, not a delivered engagement. Reference customers available on request.
Void Property Turnaround
The challenge
When a tenant vacates, the void process involves inspections, repairs, cleaning, safety checks, and reletting. In a typical housing association, each step is managed by a different team with no shared timeline, and void turnarounds stretch into weeks.
How Jarsis Platform solves it
The void lifecycle is modelled as a workflow with stages for inspection, repair scoping, contractor assignment, completion sign-off, and reletting. Each stage has defined SLAs and automatic escalation. AI Definitions auto-generate the repair scope from the inspection notes. Outbound integrations notify the lettings team the moment the property is ready.
Targeted outcomes
- Designed to: make the end-to-end void timeline visible to all teams
- Capability: repair scope auto-generated from inspection notes
- Built for: notifying the lettings team instantly when a property is ready
- Target outcome: void turnaround reduced through SLA enforcement at every stage
Illustrative scenario, not a delivered engagement. Reference customers available on request.
Healthcare
Healthcare
Estates, equipment, and service operations for NHS trusts and care providers.
Healthcare estates teams manage buildings, medical equipment, and service operations where traceability isn't optional. CQC inspections, medical device maintenance, and estates helpdesks all demand auditable processes. Jarsis Platform brings these onto a single system with AI handling request routing and workflows managing the schedules.
Estates Helpdesk and Request Routing
The challenge
Imagine an NHS trust where the estates helpdesk receives requests from clinical and non-clinical staff across multiple hospital sites. Requests range from broken heating to medical gas alarms. Misrouted requests delay critical safety responses.
How Jarsis Platform solves it
Staff submit requests through the Self-Service Portal scoped to their site and department. The Classification Engine identifies the service type and urgency, distinguishing safety-critical requests (medical gas, fire systems) from routine maintenance. Safety-critical items trigger immediate escalation workflows. Every AI classification is logged for full CQC audit readiness.
Targeted outcomes
- Designed to: identify and escalate safety-critical requests instantly
- Built for: routing routine and urgent requests to the correct trade team
- Capability: full AI audit trail ready for CQC inspection
- Target outcome: request volumes managed without increasing helpdesk headcount
Illustrative scenario, not a delivered engagement. Reference customers available on request.
Medical Equipment Lifecycle Management
The challenge
Consider a healthcare estate where medical devices are tracked across multiple systems with no single view of maintenance history, calibration status, or replacement timelines. MHRA compliance evidence is scattered.
How Jarsis Platform solves it
Every medical device is modelled as an entity with fields for make, model, serial number, calibration schedule, and maintenance history. Legacy asset data is ingested via CSV and API. Workflow Builder schedules calibration and PPM jobs by device type. Document Intelligence extracts metadata from uploaded calibration certificates and links them to the device record.
Targeted outcomes
- Designed to: provide a single view of every medical device and its compliance status
- Built for: calibration and maintenance scheduled automatically
- Capability: certificates linked to device records with extracted metadata
- Target outcome: MHRA compliance evidence accessible from one screen
Illustrative scenario, not a delivered engagement. Reference customers available on request.
Education
Education
Campus operations, estates, and student services for universities and trusts.
Universities, colleges, and multi-academy trusts manage large estates with diverse building types, high footfall, and everything from lecture theatre AV to residential heating. Jarsis Platform gives estates and facilities teams a single system for reactive repairs, planned maintenance, and inspections, with AI handling the classification of incoming requests from staff and students.
Campus Estates Helpdesk
The challenge
Picture a university estates team receiving requests from academic staff, support staff, and students across dozens of buildings. Requests come in via email, phone, and a basic web form with no classification. The estates coordinator manually triages every request.
How Jarsis Platform solves it
All users submit requests through the Self-Service Portal, scoped to their building and department. The Classification Engine identifies the trade, priority, and specific issue type. Workflow Builder routes jobs to in-house teams or contracted specialists based on the classification. GOV.UK Notify sends updates to the requester at each stage.
Targeted outcomes
- Target outcome: manual triage eliminated for the majority of requests
- Designed to: classify requests by trade and priority in seconds
- Capability: requesters receive automated status updates
- Built for: redirecting estates coordinators to exceptions and complex cases
Illustrative scenario, not a delivered engagement. Reference customers available on request.
Multi-Academy Trust Compliance
The challenge
Consider a multi-academy trust spanning dozens of schools, needing to track fire safety, legionella, asbestos, and electrical compliance across every site. Each school maintains its own records. The trust has no central visibility.
How Jarsis Platform solves it
Schools, buildings, compliance types, and certificates are modelled as entities. Legacy records are imported via CSV ingestion. Workflow Builder schedules inspections by compliance type and frequency, with automatic escalation for overdue items. Page Builder creates a trust-wide compliance dashboard showing status per school, per compliance type.
Targeted outcomes
- Designed to: provide a central compliance dashboard across every school
- Built for: inspections scheduled and tracked automatically
- Capability: overdue items escalated to trust leadership
- Target outcome: legacy records imported and validated in one operation
Illustrative scenario, not a delivered engagement. Reference customers available on request.
Launch Access 2026
Sodexo is our first launch customer.
We're taking on nine more in 2026. UK facilities operators with hard problems and real scale. Founding pricing locked, a seat at the roadmap table, founder-level support.
All vertical scenarios above are illustrative. They show how the platform tools adapt to different operations, not delivered engagements. Reference customers available on request once we've signed an NDA.