AI for Property management

AI for property management and rental software

Turnovers booked in chat, contractors ranked, and every action inside the user's role.

For property management and short-term rental platforms. An assistant that books and checks turnovers from live data, drafts contractor requests owners approve, and guides new hosts through setup.

Built for: Short-term and vacation rental platforms, property management software, owner and host portals.

Already built or tried AI? Get it scored with the AI Scorecard.

brickwren.example/calendar/week

Pellmore Stays · Turnly

Demo
  • Book a cleaning at Harbor Loft 2B after Saturday's checkout.

Step 1 of 5

Illustrative demo on a fictional management company. Not client work.

Where these products get stuck

What gets in the way, and how we handle it.

  1. 01

    Bookings that clash

    Checked before booking

    Overlaps and check-in times checked, in the right timezone, before anything is created.

  2. 02

    Urgent repairs between guests

    Contractors ranked, owner approves

    The agent ranks contractors by rating and reviews and drafts the request for the owner.

  3. 03

    New hosts who stall

    A guide inside the product

    Properties, team invites and payment setup walked through step by step, on screen.

What your customers ask before they switch it on

Short answers your team can repeat.

  • The AI can only do what the asking user could already do in the product.
  • Contractor requests and invites wait for a person to approve them.
  • Cleaners, managers and owners each see only what their role allows.
  • We work within your fair housing, messaging consent and privacy requirements.

Proof

What we have built that this rests on.

57 featured AI case studies: AI products and AI built into live products, each written up on our Work page.

CleanHaus

Rental operations · Role-aware agents

Hosts and cleaners manage rental turnovers in chat, within each person's permissions

Owners, managers and cleaners all talk in one property chat. Now an AI there acts for each of them, only within that person's role.

Brownfield AIAgentic workflowsPermission-aware
Read case study

CleanHaus

Turnovers · Role-aware calendar

Rental cleaners see only their jobs in a role-aware turnover calendar app

An aging mobile app slowed every turnover. Now one React Native app shows each owner, manager and cleaner the calendar their role allows.

ModernizationPermission-awareInside a live product
Read case study

RentSpire

Listings · Structured property data

Renters search affordable housing listings built on property data we structured first

A listings site with no listings is no use to renters; we structured the property data first, then built search and an owner dashboard on it.

Data foundationPermission-awareIntegrations
Read case study

How it works

Three ways to start, each at a fixed price.

Most property management platforms start with Turnly in a Build Sprint: booking and job tools on your APIs, with overlap and check-in checks.

Property Software Product Review · 30 minutes, no chargeStart here. We look at your platform with you, agree the outcome you want for your users, and tell you which of the three below fits.

Book a 30-minute Product Review

No AI yet, and a module fits

Build Sprint

$10,000 fixed3 weeks

Pick it when: One of our modules delivers the outcome you want.

Turnly · Bidly · Onboardly

  • One user outcome (2 to 3 related capabilities) working in your staging, behind a feature flag
  • Pull requests to your repo, built on sample properties, bookings and jobs
  • Quality and safety evals, the cost per property and a packaging recommendation
  • A fixed-price quote for production

Something new, or a plan first

Planning Sprint

$5,000 fixed2 weeks

Pick it when: You need something our modules do not cover, or want a plan before you build.

  • Where AI fits across your platform, including beyond our modules
  • A prioritized capability map, with what each one depends on
  • A readiness review of your architecture, data, integrations and permissions
  • A fixed-price quote to build it and take it to production

AI already built or tried

AI Scorecard

$5,000 fixed2 weeks

Pick it when: You have already built or tried an AI feature in your platform, live or not.

  • One AI feature you have built, tested in staging on 50 of your own cases, with names and contact details removed
  • Tests for wrong bookings, another user's properties, actions outside a role and prompt injection
  • Cost per property and a packaging recommendation
  • A scorecard, ranked fixes, draft security answers and a fixed quote

Not a compliance audit or certification.

How the AI Scorecard works

Production, at a fixed quote

We take what your Sprint built or planned live for your users, by pull request, with no standing production access. It typically includes load testing at your busiest turnover days and a spend cap per management company. Your Sprint or Scorecard fee counts toward it.

After go-live, optional support

The product is finished and yours to run. If you want us to stay on: a named lead engineer, a monthly quality and cost report, testing before any model change, and more capabilities, each at its own fixed quote.

Stop after any Sprint and keep what you got.

How a Build Sprint runs

  • In the setup week we map your backend APIs, data and roles and agree what the Sprint touches.
  • We follow your coding standards, tests and CI; your engineers review and merge every pull request.
  • Half at signature, half when the Sprint Pack is delivered.
  • Your time: about 2 to 3 hours a week from a product owner, plus an engineer to review pull requests.

Product improvements you can measure

What we agree to measure: quality and cost on test sets in the Build Sprint, adoption and outcomes once it is in production, so the decision to go further is made on evidence.

01

Fewer missed turnovers

Measure

Turnovers still unassigned a day before check-in

02

Faster repairs

Measure

Hours from a critical task to an approved contractor request

03

Hosts who finish setup

Measure

New hosts with a first turnover booked in their first week

We set the success measures with you in the setup week.

Built for live operations platforms

Controls your customers' security reviews ask about.

Each control is a design fact about how the module is built and how we work, not a compliance claim.

  • Your APIs, your logins

    Every action calls your existing backend APIs under the user's own login.

  • A role lock per channel

    Each role and channel gets its own tool list, so crews never hold owner actions.

  • People approve what goes out

    Contractor requests, invites, crew assignments and payment steps go ahead only when a person confirms them.

We work within your fair housing, messaging consent, privacy and local short-term rental requirements. Compliance depends on the complete product, contracts, policies and operating environment; Datics does not present software engineering alone as legal certification.

How we handle property data and permissions

Questions we hear on the first call

Straight answers before you book.

Does it work with our booking channels?

The assistant works on the bookings your platform holds. How bookings arrive from outside channels is scoped in the Product Review.

Can owners limit what the AI does?

Yes, within your product's roles. The AI can only do what the asking user could already do, and outreach waits for the owner.

See it on your own platform.

Bring one product, workflow or AI feature. In 30 minutes we tell you which of the three ways to start fits, what it would cost to serve per property and what your customers will ask about permissions.

Calls run in US Central time. No generic AI presentation: we discuss your product, users and production constraints.