AI Work Order Triage & Routing

The Problem

Your work orders are stuck in manual triage—urgent issues get routed late or wrong

Organizations face these key challenges:

1

Work orders arrive via multiple channels and get re-keyed, duplicated, or lost between systems

2

Priority/SLA is inconsistent—depends on who is on shift and how well the tenant described the issue

3

Misrouting causes slow dispatch, repeat visits, and vendor ping-pong (HVAC vs electrical vs plumbing)

4

Backlogs spike during storms/heat waves, and managers spend hours chasing updates instead of fixing root causes

Impact When Solved

Faster dispatch and response timesLower maintenance costs and fewer repeat truck rollsScale operations without adding dispatch headcount

The Shift

Before AI~85% Manual

Human Does

  • Read each incoming request/email/voicemail and interpret the problem
  • Manually assign category, priority, SLA, and cost code
  • Select vendor/technician based on tribal knowledge and availability
  • Ask tenants follow-up questions and collect missing details

Automation

  • Basic keyword/rules-based routing in the CMMS/PM tool
  • Static templates and canned responses
  • Simple dashboards for backlog and SLA tracking
With AI~75% Automated

Human Does

  • Handle exceptions and approvals (high-cost repairs, safety incidents, tenant disputes)
  • Review AI-suggested priority/routing for edge cases and provide feedback
  • Manage vendor relationships, negotiate rates, and resolve escalations

AI Handles

  • Ingest work orders from portal/email/SMS/voice-to-text and normalize/deduplicate
  • Classify issue type (HVAC/electrical/plumbing/elevator), extract key entities (unit, asset, symptoms)
  • Predict severity and SLA risk using asset criticality, history, and sensor/predictive-maintenance signals
  • Auto-route to best team/vendor based on skills, coverage, compliance, and performance

Real-World Use Cases

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