Onboardly by Datics AI
A new host imports properties, invites cleaners and reaches payment setup with a guide inside the product.
New hosts stop stalling on an empty account. Onboardly walks them through adding their properties, inviting their cleaners and setting up payment, with each step shown on screen inside your product.
Built into your codebase and shipped under your name, on an engine we license to you.
brickwren.example/quillon-ridge/welcome
Quillon Ridge Cabins · Onboardly
DemoI just signed up. I have 4 cabins and 2 cleaners.
Host set up in one session
- 4 properties confirmed by the host
- 2 cleaner invites ready for the host to send
- Payment setup is the next step
Properties addedInvites preparedHost confirms
Try it step by stepIllustrative demo on a fictional management company. Not client work.
Try it step by step
Onboardly on a fictional management company.
Quillon Ridge Cabins (fictional). Step through the conversation, then see what Onboardly hands back, the way your Build Sprint would build it on synthetic data.
brickwren.example/quillon-ridge/welcome
Quillon Ridge Cabins · Onboardly
DemoStep 1 of 5
Illustrative demo on a fictional management company. Not client work.
What it hands back
brickwren.example/quillon-ridge/welcome
Onboarding · Quillon Ridge Cabins
Brickwren · new host, first session
- Properties
- 4 of 4 confirmed by the host
- Done
- Cleaners
- Dana and Teo · invites ready to send
- Waiting
- Roles
- Both set as cleaner, no owner rights
- Done
- Payment
- Not set up yet · the next step
- Check
- First turnover
- Bookable once payment is set up
- Waiting
The guide prepares each step. The host confirms every property, invite and payment detail.
Illustrative demo on a fictional management company. Not client work.
What it does
What Onboardly can do.
A guide agent that walks a new owner through property import, team invites and payment setup inside your product, showing your own forms and cards in the chat as it goes.
Property import, guided
The guide walks the host through bringing in their properties, one step at a time.
Team invites
Cleaners and managers invited from the chat, each with the right role.
Payment setup, in reach
The host is taken to your payment setup step, with the guide beside it.
Steps on screen
Your own forms and cards shown in the chat as the host moves through setup.
How it works
The guide agent runs inside your product over the AG-UI protocol, so it can show your own forms and cards in the chat. Each step calls your existing import, invite and payment setup flows with the host's own login.
Built on an onboarding guide agent we have delivered inside a live short-term rental operations product.
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
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.
Cosmic AI
Onboarding · Customers set up on their own
Companies onboard themselves and connect several databases to one AI copilot, kept apart
Every new customer used to need its own copilot instance. Now a company signs up, connects several databases and invites its team.
Why it sells
What Onboardly does for your business.
What your management companys get, and what it does for your renewals and pricing.
More hosts finish setup
A guide at every step instead of an empty account.
Less onboarding support
The questions new hosts ask are answered where they ask them.
Faster to the first booking
Properties, team and payment in one session.
Controls
What Onboardly touches, and who approves.
Your management companys' data is not used to train models for anyone else and stays in your cloud. Built and tested on synthetic or test data.
Who uses it
New owners and hosts
What it connects to
Your property import, invite and payment setup flows
What a person approves
The host confirms every property, invite and payment detail
Switch per management company
On or off for each management company, with data settings their admins control.
How to get it
Two steps to a finished Onboardly.
Start with a three-week Build Sprint. Add more only if you want it.
First · Build Sprint · $10,000 fixed
New hosts get from sign-up to a ready account in one session
- Property import, guided
- Team invites
- Steps on screen
- In your staging, behind a feature flag
- Delivered as pull requests
- A test set your team reviews
- Week 1Setup
- Weeks 2 to 3Build
- You getOnboardly in your staging and a fixed production quote
- Your time
- About 2 to 3 hours a week from a product owner
- Data
- Synthetic or test data, never your management companys' customers
- The fee
- Counts toward production
Then · Live in production
A finished product, yours to run
- Fixed quote
- Tested before launch
- Switch per management company
- A finished, working Onboardly in your product
- Runs in your cloud, under your name
- Fixed quote, agreed before we start
Optional · Add more later
Only if you want it
More of Onboardly:
- Payment setup, in reach
Another module:
- Each one quoted on its own
- Nothing ongoing unless you ask
Already built or tried AI? Get it scored with the AI Scorecard. Need something else? Start with a Planning Sprint.
FAQ
Questions about Onboardly.
Does the guide enter payment details for the host?
No. It takes the host to your payment setup step, and the host enters and confirms the details.
Does it work with our existing setup screens?
Yes. It calls your own import, invite and payment flows and shows your own forms inside the chat.
See Onboardly on your own product.
Bring your product and one workflow. In 30 minutes we look at where Onboardly fits, what it would cost to serve and what your management companys' security review will ask.
Calls run in US Central time. No generic AI presentation: we discuss your product, users and production constraints.
