AI for property management and field operations software
Your property management software, with AI that books, updates and drafts inside each person's role.
For short-term rental, property management, cleaning and field service platforms with live users. We build AI on your own APIs and logins, so owners, managers and crews each reach only what their role allows, and ship it under your name.
- Crews update jobs by text, photo or voice
- Every action runs on the user's own login
- Owners approve anything sent to a contractor
Three ways to start, from $5,000: Build Sprint · Planning Sprint · AI Scorecard
app.brickwren.example / pellmore / calendar
Pellmore Stays · Weekend turnovers
AI checkedTurnly by Datics AI · Try it step by step →
Illustrative demo on a fictional management company. Not client work.
Who it is for
Built for property operations software.
Each page leads with the modules that fit that kind of platform, the questions its buyers ask and where most teams start.
Building brokerage, HOA or commercial real estate software? Tell us what it does, and we tell you plainly whether we fit.
Book a 30-minute Product ReviewWhy AI stalls in property operations software
What gets in the way, and how we handle it.
- 01
Field work that changes all day
Live data on every answer
The assistant reads current bookings, jobs and status before it acts, never a morning snapshot.
- 02
Crews who will not open another app
Text, photo and voice
Crews text or send a photo, signed in by phone number, or tap a call button in your app, under the same account.
- 03
Roles that must not blur
A role lock per channel
Each role and channel gets its own set of tools, so a cleaner's session has no owner actions at all.
- 04
AI that could book or spend on its own
Agents prepare, people approve
The AI checks bookings and drafts contractor requests; owners and managers approve what goes out.
- 05
A live product that cannot pause
Built on your own APIs
AI calls the backend APIs your product exposes today, under each user's login, and anything new, such as a voice session endpoint, goes into your own backend by pull request.
Why AI earns its place in your product
Fewer missed turnovers
Gaps seen in time.
Unassigned jobs close to check-in surface while there is still time to fill them.
Keep crews reporting
Updates from the phone in their pocket.
Text, photo or voice, in each person's language, straight onto the job.
Easier to sell
Permissions buyers can check.
Every action runs with the user's own rights, and outreach waits for the owner.
Modules by Datics AI
Start from AI we have already built, not from zero.
Property AI you can see before you buy: each module runs on a fictional management company and builds on AI we have built for a live rental operations product.
Managers book turnovers in chat, and every role sees the gaps it can act on.
Fits: Short-term and vacation rental software, property management platforms, cleaning and turnover apps
Crews text, send a photo or call from the property, and the update lands on the right job.
Fits: Cleaning and turnover software, field service apps, maintenance and inspection tools
An urgent task wakes the agent; it ranks contractors and drafts the request for the owner to approve.
Fits: Property management platforms, maintenance and work order software, home service marketplaces
A new host imports properties, invites cleaners and reaches payment setup with a guide inside the product.
Fits: Short-term rental and property management software, cleaning and field service platforms with self-serve sign-up
Property and unit data collected, structured and shaped into the feed formats listing portals read.
Fits: Rental listing platforms, affordable housing search, property marketing software
Turnlyby Datics AI
AI turnover scheduling for rental and cleaning software
Managers book turnovers in chat, and every role sees the gaps it can act on.
Fits: Short-term and vacation rental software, property management platforms, cleaning and turnover apps
Crewlyby Datics AI
AI field crew updates by text, photo and voice
Crews text, send a photo or call from the property, and the update lands on the right job.
Fits: Cleaning and turnover software, field service apps, maintenance and inspection tools
Bidlyby Datics AI
AI contractor outreach for urgent property tasks
An urgent task wakes the agent; it ranks contractors and drafts the request for the owner to approve.
Fits: Property management platforms, maintenance and work order software, home service marketplaces
Onboardlyby Datics AI
AI guided onboarding for new hosts and owners
A new host imports properties, invites cleaners and reaches payment setup with a guide inside the product.
Fits: Short-term rental and property management software, cleaning and field service platforms with self-serve sign-up
Listings data and feedsby Datics AIService
Rental listings data collection, structuring and feeds
Property and unit data collected, structured and shaped into the feed formats listing portals read.
Fits: Rental listing platforms, affordable housing search, property marketing software
Also for your product
Your product, inside Claude and ChatGPT.
We build a connector so your users can ask their own AI assistant about their data in your product, each signed in with their own login and seeing only what they can already see. It starts read-only, only the fields you approve leave your product, and actions each user approves can come later.
How we build connectorsWhich units have a turnover due before Friday's check-ins?
Six, with the cleaner assigned to each. Two still have no cleaner.
Proof
Our property operations work.
The app we built and the Broomy AI agent we grew with CleanHaus, and the listings data platform we built for RentSpire.
57 featured AI case studies across our work
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.
CleanHaus
Field crews · Text and voice
Rental cleaners update jobs by text or voice, under the same login rules
Cleaners balked at app installs and one-language tools. Now they text a photo or talk to the assistant in their language, and the job updates.
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.
More property work
CleanHaus
Forward deployed · AI and mobile
CleanHaus took its app and AI agent live, our engineers inside its team
CleanHaus needed AI and mobile engineers without hiring a department. Our engineers worked in its code, cloud and logins until both went live.
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.
“CleanHaus has been moving quickly to deploy our app and Broomy AI Agent with the key assistance of the Datics team. We couldn't have reached this point without your excellent bench of developers.”
Nat Parker · CEO and Co-Founder, CleanHaus
See the work
How it works
Three ways to start, each at a fixed price.
A 30-minute review tells you which one fits. Whichever you pick, you know the production price before you commit, and your fee counts toward it.
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 ReviewNo 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 · Crewly · 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 worksProduction, 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.
Need integrations first? Listings data and feeds covers listings data structured and fed. Ask in the Product Review.
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 permissionsIn AI and data since2018
- AWS: Select Tier Partner
- Anthropic: Partner · Claude models
- CopilotKit: Agent user interface
- LangGraph: Production agent engineering
- Databricks: Governed AI & agent workflows
- Cursor: Agentic development environment
- Microsoft Azure: Production AI delivery
- Google Cloud: Production AI delivery
AI shipped inside products for
Questions we hear on the first call
Straight answers before you book.
The questions property software product and engineering leaders ask most.
Can you add AI without new backend services?
Yes, for the assistant itself: it calls the APIs your backend exposes today, under each user's own login, so every action passes the access rules your product enforces. Where a channel needs one, such as a voice session endpoint, we add it in your own backend by pull request.
Can a cleaner see an owner's data or actions?
No. We compile a separate set of tools for each role and channel, so a cleaner's session simply has no owner tools, by text, by voice or in the app.
Can crews use it without installing an app?
Yes, by text. Crews text or send a photo from their own phones, signed in by phone number to their existing account. Voice calls run from a call button inside your app, under the same login.
Does it work in more than one language?
Yes. The assistant replies in each user's language on every channel and can translate property chat, so a crew member and a host can work the same turnover in different languages.
Does the AI send anything to contractors or guests on its own?
No. It ranks and drafts, and the owner approves every contractor request before it is sent. Any guest messaging is scoped in the Product Review under the same rule.
Which systems have you integrated?
Stream Chat, Twilio text and picture messages, Slack, LiveKit voice and AWS services such as Cognito, Lambda and SES. Your booking channels, property management system and payment provider are scoped in the Product Review.
How do you choose a property management software development company?
Look for a team that has shipped AI into a live operations product: real bookings, crews in the field and roles that must not blur. Ask how the AI is kept to each user's rights, what it may send without a person and who owns the code. We answer each of these in the Product Review, with the work behind it.
Who owns the code?
What we build for your product lives in your repository and ships under your name. The reusable engine underneath stays ours and is licensed to you; the terms are in your contract.
Do you have SOC 2?
Not yet. We work in your staging by pull request, under your accounts, and in production only through access you grant and can revoke.
Where are you based?
Datics is headquartered in Austin, Texas, with a named lead engineer and US-hours overlap on every engagement.
Property management insights
How we think about the hard parts.
Answers for product and engineering leaders, from the team that builds it.
Brownfield AI
AI for field service and compliance software
AI for field service and compliance software drafts inspection reports, checks records against rules and prepares follow-ups, while a named person approves.
Umair Majeed · Sep 23, 2026AI agents
Where should AI agent security enforce permissions?
AI agent security in a multi-role SaaS product rests on one rule: the agent gets the user's permissions and nothing more, enforced in code, never in the prompt.
Rana Umar Majeed · Sep 28, 2026AI agents
How do you design tools for LLM tool calling?
LLM tool calling works in an existing product when each tool maps to a real, approved endpoint with a clear name, description and schema. Here is how.
Rana Umar Majeed · Oct 21, 2026AI agents
Where should human in the loop AI review happen?
Human in the loop AI works when review happens field by field, before anything ships. Learn where to place checkpoints and how to measure accuracy.
Rana Umar Majeed · Oct 16, 2026AI in production
What does good AI agent testing in CI look like?
A tiered approach to AI agent testing in CI: scripted fake models on every commit, and real-model routing and quality evals on demand.
Rana Umar Majeed · Sep 10, 2026Brownfield AI
What makes good AI user experience for non-technical users?
Good AI user experience for non-technical users means recommendations instead of automatic actions, AI work beside their own, and confirmation before saving.
Bilal Hassan · Oct 16, 2026See 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.
Own several property software products? Datics for private equityCalls run in US Central time. No generic AI presentation: we discuss your product, users and production constraints.