---
title: "Facilities work order intake and dispatch: AI Use Case"
description: "Turn maintenance requests from email, forms and chat into complete work orders, set a priority, and route each one to the right technician or vendor for approval."
url: https://lidvizion.ai/use-cases/facilities-work-order-intake/
site: Lid Vizion
index: https://lidvizion.ai/llms.txt
---

[Use cases](https://lidvizion.ai/use-cases/) · Facilities & operations

# Facilities work order intake and dispatch

Turn maintenance requests from email, forms and chat into complete work orders, set a priority, and route each one to the right technician or vendor for approval.

[Talk through this workflow](https://lidvizion.ai/contact/?need=ai-workflow&from=%2Fuse-cases%2Ffacilities-work-order-intake%2F#write) · [Automate the repeatable](https://lidvizion.ai/services/automation/)

Where it starts

## The trigger.

Someone reports a problem with a building, room, equipment or service.

How it runs today

- Requests arrive by email, phone and chat with missing details.
- A coordinator re-types each one into the work order system.
- Urgent issues wait in the same queue as routine ones.

The workflow

## Four bounded steps.

Each step has an owner and a stop rule.

1. 01 / Capture
   Collect the request and ask the reporter for missing details such as location, photos and urgency.
2. 02 / Create
   Draft a complete work order with category, location and suggested priority.
3. 03 / Route
   Suggest the technician or vendor based on category, location and availability.
4. 04 / Approve
   A coordinator confirms priority and assignment; the reporter gets a status update.

Where people stay in control

## Approval points.

- A coordinator confirms priority and assignment for every work order.
- Safety issues are escalated to a person immediately, never queued.

How we would measure it

## Against a baseline.

Measured before and after, on the same work.

### Time from report to assigned work order.

### Share of work orders created without follow-up questions.

### Urgent requests resolved within the agreed target.

Related

## Go deeper.

- [Automate the repeatable](https://lidvizion.ai/services/automation/): Give recurring work an owner, a trigger, and a stop rule.
- [Client vs. server: where code runs](https://lidvizion.ai/resources/basics/backend-client-vs-server/): What belongs in the browser or app, and what must stay on a server you control.
- [Run maintenance requests through one intake](https://lidvizion.ai/guides/run-maintenance-requests-through-one-intake/): A four-step playbook to bring maintenance and facilities requests into one intake, capture complete details first time, and route each job to the right person by priority.
- [How to route requests and work orders with AI](https://lidvizion.ai/answers/how-to-route-requests-and-work-orders-with-ai/): How can AI sort incoming requests and work orders so they reach the right team faster?

More use cases

## Other places to start.

[All use cases](https://lidvizion.ai/use-cases/)

- [Parking and space occupancy from cameras](https://lidvizion.ai/use-cases/parking-and-space-occupancy/): Facilities & operations Use existing cameras to count which spaces are free or occupied and feed the count to signage, an app or a dashboard, with people checking anything unusual.
- [Street asset defect reports from routine drives](https://lidvizion.ai/use-cases/street-asset-defect-reports/): Facilities & operations Use images captured on routine drives to flag likely road, sign and street-furniture defects with a location, so an inspector confirms each one and real defects become work orders.
- [Daily work order brief](https://lidvizion.ai/use-cases/daily-work-order-brief/): Facilities & operations Summarise open work orders each morning, highlighting overdue, blocked and safety-related jobs and what is waiting on parts, permits or access, so supervisors start the day with a short list of what needs a decision.

An illustrative workflow pattern, not a result from a specific customer.

Bring the messy version

## One workflow. A better way to run it.

Show us the tools, the handoffs, and the part that keeps slowing your team down.

[Let’s map your workflow](https://lidvizion.ai/contact/) · [Read our approach](https://lidvizion.ai/approach/)