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Elevare Technologies
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02 — AI Systems

Maintenance Triage & Dispatch Engine

Requests arrive by phone, text, portal, and email; the system classifies severity, dispatches the right vendor, and closes the loop with the tenant.

Segment
Property Management
Discipline
AI Systems
Typical build
8–12 weeks
Profile
02 of 06

/ The problem

Maintenance intake is the single most staff-intensive workflow in property management, and it scales linearly with doors. Severity is judged inconsistently, after-hours coverage is expensive, and tenants call back because nobody told them what happened.

/ Architecture

5 stages, each one observable and individually replaceable.

  1. 01Intake

    Unified channel adapters for voice, SMS, portal, and email, each normalized into one request schema.

  2. 02Classify

    Severity, trade, and habitability risk scored by a model evaluated against your own historical tickets.

  3. 03Guardrail

    Emergency and life-safety categories bypass automation and page a human immediately.

  4. 04Dispatch

    Vendor selection by trade, coverage area, capacity, and rate card; work order issued with photos attached.

  5. 05Close

    Status pushed back to the tenant automatically; completion synced to the PM system of record.

Stack

PythonNext.jsPostgresSpeech-to-textLLM classificationVendor API integrations

What people actually use

  • Tenant status thread across SMS and portal
  • Dispatcher exception queue — only what needs judgment
  • Vendor mobile work order with photo capture
  • Portfolio maintenance analytics by property and trade

How we know it works

  • Share of tickets resolved without human triage
  • Median time to vendor dispatch
  • After-hours escalation accuracy
  • Tenant callback rate per ticket

Baselines are captured during discovery so the effect of the system is measurable against the process it replaced — not asserted afterward.

Next system

Deal Screening & Underwriting Copilot

/ Build this

Want one of these
running in your operation?

Thirty minutes. We map one workflow, size what fixing it is worth, and tell you honestly whether we're the right build partner for it.

Book a scoping callhello@elevaretechnologies.io

Engagement profile

First build
One system, 6–12 weeks, production-ready
Team
Senior engineers only — no offshore handoff
Stack
TypeScript, Next.js, Postgres, Python, LLM infra
You keep
Source, data, infrastructure, documentation
Accepting engagements for the next quarter