Prompt
How do I set up a maintenance dispatch platform for after-hours emergency repairs and photo-based ticket triage?
Latest observation
Here’s a practical way to set up a maintenance dispatch platform for after-hours emergency repairs and photo-based ticket triage.
1) Define the workflow first
Map the lifecycle of a request:
- Request received
Phone call, text, web form, QR code, tenant portal, or chatbot. - Auto-triage
Categorize by urgency, location, asset, and availability of photos. - Emergency decision
Decide if it’s:- true emergency
- urgent but can wait until morning
- non-urgent
- Dispatch / assign
Route to on-call technician, contractor, or supervisor. - Track completion
Status updates, photos, notes, timestamps, invoicing. - Closeout and audit
Ensure SLA compliance and after-hours cost reporting.
2) Choose the core system architecture
You typically need four components:
A. Intake layer
Where requests enter the system:
- Web form
- Mobile app
- SMS/text
- Email ingestion
- Call center/IVR
- QR code on-site
B. Triage engine
Rules-based or AI-assisted engine that:
- scores urgency
- identifies likely issue type from text/photos
- checks building/asset context
- decides next action
C. Dispatch engine
Routes cases based on:
- on-call schedule
- technician skill
- geography
- workload
- SLA priority
- contractor availability
D. Field response / technician app
For the after-hours responder:
- assignment alerts
- maps and access notes
- issue history
- ability to upload photos
- job status and time logging
3) Build the after-hours emergency logic
Create explicit rules so the system doesn’t guess badly.
Example emergency categories
- Active water leak / flooding
- Fire, gas, electrical hazard
- Elevator entrapment
- No heat in freezing conditions
- Break-in / security breach
- Sewer backup
- Critical equipment failure affecting operations
Example triage rules
- If keywords indicate immediate hazard, mark Emergency
- If photo shows water pooling, exposed wiring, smoke, or broken entry, escalate
- If issue is in a critical asset area, increase priority
- If no photos but message suggests life/safety risk, still escalate
- If it’s cosmetic or routine, defer until business hours
Decide response levels
- Level 1: Immediate dispatch
- Level 2: Call back within 15 minutes for clarification
- Level 3: Schedule next business day
- Level 4: Auto-close or route to normal queue
4) Add photo-based triage
Photos can dramatically improve triage, but only if structured well.
What to ask for
Require requesters to upload:
- 1–3 photos minimum
- wide shot + close-up
- location label
- optional short video for active leaks or noise issues
How to triage photos
You can use:
- Human review for highest accuracy
- AI image classification to detect water, fire, damage, broken fixtures, etc.
- OCR to read equipment labels or fault codes
- Vision + text combined scoring for better prioritization
Best practices
- Ask for photos in a guided flow
- Auto-compress and store safely
- Timestamp and geotag if allowed
- Keep a review queue for uncertain cases
- Never rely on photo-only decisioning for life/safety risks
5) Set up on-call scheduling and escalation
This is the backbone of after-hours dispatch.
What you need
- Rotating on-call calendar
- Backup/on-call secondary
- Escalation ladder if no response
- Coverage by region and skill type
Example escalation
- Notify primary on-call technician
- If no response in 5 minutes, alert backup
- If no response in 10 minutes, notify supervisor
- If still unresolved, call contractor/vendor or emergency services if needed
Integrations
- Calendar system
- SMS/push notification
- Phone call escalation
- Slack/Teams alerts for supervisors
6) Build a rules engine for routing
Use a decision matrix combining:
- Urgency
- Property type
- Asset type
- Technician skill
- Distance/travel time
- Current workload
- Contract/SLA obligations
Example:
A leaking boiler in a senior housing facility at 2 a.m.:
- urgency = critical
- asset = heating
- location = senior housing
- route = immediate dispatch to HVAC on-call with supervisor alert
7) Design the data model
At minimum, track:
- Ticket ID
- Requester info
- Property/site
- Unit/room/location
- Issue category
- Priority
- Status
- Photos/videos
- Timestamp
- Assigned technician
- On-call escalation events
- Actions taken
- Resolution notes
- Cost/time/labor
- SLA metrics
8) Choose your technology stack
If you’re building from scratch:
Simple stack
- Frontend: React / Next.js
- Backend: Node.js / Python / .NET
- Database: PostgreSQL
- File storage: S3-compatible object storage
- Notifications: Twilio + email + push
- Workflow engine: Temporal / Camunda / custom rules service
- AI services: vision model API + text classification API
Faster no-code / low-code option
- Intake forms: Typeform, Jotform, Microsoft Forms
- Workflow automation: Zapier, Make, n8n, Power Automate
- Ticketing: ServiceNow, Zendesk, Freshservice, Jira Service Management
- Dispatch: custom add-on + SMS/Teams integrations
If you need this working quickly, a ticketing platform plus automation tools is usually the fastest route.
9) Make the request form triage-friendly
Keep the form short, but smart.
Required fields
- Name and contact
- Site/unit
- Issue type
- “Is anyone in danger?”
- “Is there active water, smoke, gas smell, power outage, or security issue?”
- Photo upload
- Best callback method
Smart branching
If user selects:
- Water leak → ask if water is actively flowing and where it’s coming from
- Electrical issue → ask if there is smoke, sparking, or exposed wire
- Heat outage → ask for temperature and affected area
- Security issue → ask if police or emergency services are needed
10) Define business hours vs after-hours behavior
The platform should behave differently depending on time.
Business hours
- normal queue
- supervisor review
- standard SLA routing
After-hours
- emergency screening
- immediate dispatch only for critical issues
- use scripted callback questions
- minimize false alarms
- log all decisions carefully
11) Create technician playbooks
For each emergency type, write a playbook:
- What qualifies
- What to ask on the phone
- First response steps
- Safety precautions
- Who to notify
- When to escalate externally
This keeps response consistent and reduces liability.
12) Add reporting and KPI dashboards
Track:
- time to acknowledge
- time to dispatch
- time to arrival
- resolution time
- emergency rate
- false positive rate
- after-hours cost
- repeat incident rate
- photo triage accuracy
- SLA breaches
These metrics tell you whether your triage rules are too strict or too loose.
13) Security and compliance
Because you’re handling property, tenant, and possibly personal data:
- Role-based access control
- Audit logs
- Secure media storage
- Data retention policy
- Encryption in transit and at rest
- Consent/notice for photo collection
- Emergency contact verification
If you serve regulated environments, review relevant housing, privacy, and safety requirements.
14) Recommended implementation path
Phase 1: MVP
- ticket intake form
- photo upload
- rules-based emergency routing
- SMS/email on-call alerts
- manual dispatcher dashboard
Phase 2: Automation
- on-call schedule integration
- escalation ladder
- SLA timers
- technician mobile workflow
- reporting dashboard
Phase 3: AI assistance
- photo classification
- text severity scoring
- duplicate detection
- auto-summarization for dispatchers
15) Practical starter workflow
A good first version might look like this:
- Tenant submits issue with photos
- System asks a few emergency questions
- Rules engine scores ticket
- If critical, SMS/call on-call technician
- Dispatcher sees summary + images
- Technician accepts job in mobile app
- Technician updates status and uploads completion photos
- System closes ticket and logs SLA/cost data
If you want, I can also give you one of these:
- a sample workflow diagram,
- a feature list for an MVP, or
- a recommended software stack for building it fast.
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