AI for field service and turnover software
Crews report by text, photo or voice, and every update lands on the right job.
For cleaning, turnover and field service platforms. Crews update jobs from their own phones in their own language, the calendar shows each role only its jobs, and urgent tasks reach contractors once an owner approves.
Built for: Cleaning and turnover software, field service and maintenance apps, inspection tools.
Already built or tried AI? Get it scored with the AI Scorecard.
brickwren.example/jobs/juniper-cottage
Pellmore Stays · Crewly
DemoStep 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.
- 01
Crews who skip the app
Text, photo and voice
Crews text or send a photo, signed in by phone number, or tap a call button in your app.
- 02
Many languages on one team
Each person's own language
The assistant replies in each user's language and translates property chat.
- 03
A calendar every role reads differently
Role rules in every view
Month, week and day views read the user's role, so crews see only their jobs.
AI inside your product
The modules that fit this kind of platform.
Each one is shown on a fictional management company. It is built into your codebase and ships under your name, on an engine we license to you.
What it connects to: Your job and calendar APIs, user accounts, messaging provider and mobile app. Sprints use sample jobs and test phone numbers.
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
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
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
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
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.
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.
How it works
Three ways to start, each at a fixed price.
Most field service platforms start with Crewly in a Build Sprint: text and picture messages on one job type, signed in by phone number.
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.
- 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.
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.
Updates from the field
Jobs updated by text, photo or voice
Fewer missed tasks
Reported issues that reach a manager the same day
Crews in their own language
Share of replies in the crew member's own language
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 permissionsQuestions we hear on the first call
Straight answers before you book.
Do voice calls work for every role?
We built voice for cleaners first, with the role checked on every call. Other roles follow the same pattern and are scoped in the Product Review.
Can it run inside our mobile app?
Yes. The same assistant answers in your app chat, by text and by voice, and we have built React Native apps with push actions and deep links into the right job.
Other property management platforms we build for
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.