The maintenance blind spot

A dripping faucet costs pennies to fix but can spiral into a scathing review and a $150 credit. Most hosts rely on manual tagging or human VAs—that’s brittle at scale.

How AI Tasks automates the boring bits

1. Intent classifier spots maintenance verbs (“leak,” “broken,” “smells”).
2. Entity extractor pulls location (bathroom sink), urgency (via sentiment), and attachments (guest photo).
3. Ticket generator pre‑populates due date, assignee, and parts needed.
4. Auto assignment rules automatically notify the relevant team member to resolve the tasks

Cohort study across 220 units: mean time‑to‑repair dropped from 52 h → 14 h.

Workflow example

Guest text: “The balcony light’s out—makes it hard to enjoy the sunset.”
AI created task:

action: create_ticket
property: #302 Marina View
description: Replace balcony bulb
priority: medium
assignee: Maintenance‑Mike


Pro tips

• Bulk rules: auto‑assign any “plumbing” tasks to your favorite handyman.
• Budget caps & other custom rules: set specific guidelines for AI to follow when creating and routingtasks