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. Two‑way sync updates the guest once the ticket is closed.

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 output:

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

Vendor integrations

AI Tasks hooks into Stripe for cost tracking and Slack/SMS for contractor notifications. Images pass straight to the task card—no download hassle.

Pro tips

• Bulk rules: auto‑assign any “plumbing” tasks to your favorite handyman.
• Budget caps: set $100 auto‑approval; larger jobs route to you.

ROI calculator

At $25 /hr average handyman labor, shrinking repair time by 24 h on 10 monthly tasks saves $6 000 yearly—before you factor in review uplift.

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