How to Use AI for Vacation Rental Inspections

Written by Punn Kam, ex-Google AI engineer and Y Combinator repeat founder. He is the co-founder of Conduit, an AI agent platform built for hospitality, serving 300+ hospitality brands in 140+ languages. Last updated October 7, 2026.

To use AI for vacation rental inspections, have the AI compare each turnover walkthrough against a baseline of every room, check that no room was skipped, sort the flags by severity and category, have a person confirm each one, and turn it into a task and a message for whoever needs to know. The sections below follow that order.

For how the walkthrough is recorded and what a finding looks like, see AI video inspections for vacation rentals.

What does AI actually look at in a turnover walkthrough?

AI inspection tools look for visible change between a new walkthrough and a baseline of how each room should look. RapidEye, the inspection partner Conduit integrates with, says on its homepage that it ingests historical turnover photos, builds a visual baseline for each room, and flags damage, missing items, staging changes, and cleanliness issues in new photos or video. It lists wall damage, broken glass, stains, missing items, furniture damage, appliance issues, staging inconsistencies, and cleanliness problems as the kinds of things it catches.

Properly takes a photo-based approach: its AI builds a checklist for each home and flags issues in the cleaner's checklist photos. RapidEye says a cleaner can record a 5 to 10 minute walkthrough after cleaning, and it reviews the video against the baseline.

How do you check that the walkthrough covered every room?

Walkthrough coverage is the first thing to check, because the AI only reviews what the cleaner filmed. A room the cleaner skipped returns no findings, and "no findings" for a room nobody filmed looks exactly like a clean room. Before reading the flags, confirm that every room on the unit's route appears in the walkthrough.

If your cleaners also work from photo checklists, the same rule applies there. Turno's API shows checklist items with a required-image flag, Operto Teams requires photo and video uploads on tasks, and Breezeway's quality assurance page describes required photo uploads per task. In Conduit, in-house staff work from the mobile field view, where checklists can require a photo before an item is ticked.

Treat a missing room as its own finding and send the walkthrough back before you trust the result.

How should findings be sorted by severity and category?

Findings should be sorted on two axes before anyone acts: how bad the problem is and what kind of problem it is. RapidEye findings arrive in Conduit with a severity (minor, moderate, or major), a category (damage, cleaning, or lost item), a room, and a timestamp in the walkthrough video. Those four fields are enough to decide who handles a finding and how fast.

The routing table below is a starting point to adapt, written down before the AI goes live.

The table is a policy decision, and the AI should not be making it for you. Major damage on a unit with a same-day arrival needs a different response than the same finding on a unit that sits empty for a week, so put the next arrival time in the rule.

Who should confirm an AI finding before it becomes work?

A person should confirm every AI finding before it costs anyone money or reaches a guest. The vendors say so themselves. Properly has expert inspectors review every AI flag, RapidEye's fit guide routes flagged issues to whoever owns quality control "so a human confirms and acts," and TurnAudit labels its AI review advisory, saying it can miss things.

Name one owner per region or per shift. The video timestamp makes confirmation quick, because the reviewer jumps to the flagged second instead of watching the whole walkthrough. Log the findings you dismiss as well as the ones you confirm; a run of false flags in one room usually means the baseline is out of date or the camera angle changed.

How does a finding become a task with the evidence attached?

A RapidEye finding becomes a Conduit task through Conduit's RapidEye integration. When an inspection finishes, Conduit creates one follow-up task per inspection, titled with the number of findings, that lists each finding with its room, severity, category, and video timestamp. RapidEye's before and after evidence photos are attached to the task, it links to the full RapidEye report, and it sits on the same property (and reservation, when the source task had one) as the task the walkthrough started from.

Conduit tasks hold photos, receipts, and checklists, not video files, so the clip itself stays in RapidEye's report and the task carries the timestamp to find it. From there the follow-up is ordinary operations work. Conduit sends work orders to cleaners and contractors by SMS or email with accept and decline links, and the response updates the task. In-house staff see it in the mobile field view.

If you run a separate operations tool, check what its API accepts before you push findings into it. Breezeway's Add Task Photo endpoint documents image files, and Turno's API has a problem-report endpoint. Anything the receiving tool cannot store will not reach the person doing the fix.

How do you tell the guest, the owner, and the cleaner?

Telling the guest, the owner, and the cleaner about a finding runs on Conduit's task triggers, which fire when a task is created, assigned, changes status, or is completed. Each trigger can start an agent or a workflow, so a confirmed finding reaches the people affected without a manager relaying it. Agents write to guests in their own language (Conduit supports 140+), in the same thread where the guest booked.

Some examples of what you can set up after an inspection:

1. A lost-item finding prompts an agent to ask the last guest, in their booking thread, whether they want the item shipped.
2. A major damage finding goes to the owner with the evidence photos before the repair is booked.
3. A cleaning finding sends the cleaner back, and when the task is marked complete, a workflow sends the arriving guest's check-in message.
4. A damage finding from the last stay goes to whoever handles claims. Our post on damage waivers versus security deposits compares the two ways operators recover repair costs.

How an agent handles each case lives in its instructions and skills (named, versioned instruction packs attached to the agent), so you decide the tone and the rules. Write down that nobody asks a guest about damage before a person has confirmed it.

What can't AI inspection tell you?

AI inspection cannot tell you about anything the camera did not capture clearly: a smell, a dripping tap, weak water pressure, a heater that does not work, a stain under a fitted sheet, or the contents of a closed drawer. RapidEye's walkthrough guide lists limits along the same lines, and a person on site or a checklist item still covers them.

AI inspection also cannot tell you how often it is wrong. None of the vendors covered here publishes an independent accuracy benchmark, and TurnAudit's own page says its AI "can miss things." Pinning a change on one of two back-to-back stays is harder again; RapidEye lists back-to-back damage attribution on its Operations plan (pricing), and a person should still check the evidence before anyone is charged.

What goes wrong when teams add AI inspections?

Teams adding AI inspections usually stumble at the handoff after detection. Flags with no owner pile up in a Slack channel or an inbox and nobody clears them; RapidEye's own fit guide says it works best when one person owns the turnover process.

Other ways it goes wrong:

• A guest is charged on the AI's word before anyone opened the evidence.
• Capture drifts. A cleaner who films the kitchen from the doorway one day and from the window the next makes every comparison noisier.
• The task says "damage in living room" and nothing else, so the technician calls the office.
• The guest who reported a lost item, or the owner who approved a repair, never hears that it was done.

For the tools themselves, our list of the best AI inspection tools for vacation rentals compares RapidEye, Properly, and others on how far their findings travel. For why inspections, tasks, and guest messages belong in one system, read guest messaging and operations in one system.

FAQ

The questions below cover how vacation rental teams use AI in property inspections, including what the AI reads and how a confirmed finding reaches a cleaner, a guest, or an owner. Each answer is written to stand on its own, with sources linked in the sections above.

What can AI detect in a vacation rental inspection?

AI inspection tools detect visible change against a baseline of each room, such as wall damage, broken glass, stains, missing items, furniture damage, and cleanliness problems. They cannot detect smells, sounds, or anything the camera did not film.

Should AI findings go straight to the guest?

AI findings should not reach a guest until a person has confirmed them, especially damage that may lead to a charge. Once confirmed, an agent can ask the guest in the thread where they booked, following rules you wrote.

How do AI inspection findings become tasks in Conduit?

Conduit imports RapidEye's findings through its RapidEye integration and creates one follow-up task per inspection, listing each finding with its room, severity, category, and video timestamp. RapidEye's before and after evidence photos are attached, and the task links to the property and, when there is one, the reservation.

Does Conduit build its own inspection AI?

Conduit does not run the visual review; RapidEye's AI does, and Conduit receives the findings through its RapidEye integration. Conduit handles what happens next, the follow-up task and the message to the guest or owner.

How accurate is AI property inspection?

None of the vendors covered here publishes an independent accuracy benchmark, and TurnAudit says its AI can miss things. Treat AI findings as a review queue for a person to confirm.

Do I still need photo checklists if I use AI video inspection?

Photo checklists still prove that a specific step, such as restocking or a hot-tub chemical check, was done. AI video inspection answers a different question, whether anything in the unit changed, and you can run both on the same turnover.

Sources

The vendor pages below are the ones this guide quotes or paraphrases, each read on October 7, 2026. Conduit's own behavior (the RapidEye integration, follow-up tasks, triggers, and work orders) is described from the product, where it is part of the Full Suite package.

• RapidEye homepage, fit guide, walkthrough guide, and pricing
• Properly Real-Time Inspection
• TurnAudit
• Turno API, Operto Teams, Breezeway quality assurance, and Breezeway Add Task Photo