A building's leasing, rent and operations —
run by a team of role-based agents
Enter one contract and the system lays out every month's receivable and due date; overdue rent is chased automatically; arrears are visible on one screen; operating data answers back the moment you ask.
* Illustration of a multi-agent workflow; timings are indicative. Actual behavior shown in a live demo.
Most AI stops at answering questions;
this one enters the work and gets it done.
Same AI — the difference is whether it truly enters the business. These three are work it actually completes for property teams every day.
Clear the whole building's books in one question
“How many leases on this floor expire this year?” “How much is still unpaid this month, and who owes the most?” — the system searches hundreds of contracts and thousands of entries and computes the answer instantly, with no page-by-page lookups or manual tallying.
Turn one contract into a full collection plan
Rent-free periods, annual escalation, pay-before / pay-after are laid out into month-by-month receivables automatically; change the contract and the downstream figures recompute in sync, with no manual re-entry. The same calculation often takes a person days.
auto reminders, auto drafts
Rent is chased automatically on the due date; collection notices, unit quotes and monthly operating reports are generated in one click. Anything that changes data is written only after you confirm.
Rent that's due gets chased automatically; repairs get submitted in one tap.
One system, two ends working together: managers run the whole operation from the web console while tenants self-serve in the WeChat mini-program — data syncs in real time, update once and it takes effect on both ends.
Property operations
- Arrears and near-due status on one screen — no ledger digging
- Bills chased automatically on due date, across multiple channels
- Repairs, visitors, parking and energy managed centrally
- Ask operating data in real time; generate the monthly report in one click
Update once
Both ends update
Tenant service
- Automatic bill reminders so payments are never missed
- Clear bill details, pay online from your phone
- Report a repair with a photo — auto-dispatched and trackable
- Visitor sign-in and in-building ordering, ready with a scan
A dedicated AI team, each with its own job.
You talk to a single platform agent; behind it is an MA + WA multi-agent architecture — each role has one Manager Agent (MA) that decides and directs N Worker Agents (WA) that execute. Contract parsing, data audit and tenant response each keep to their role and hand off end to end.
John
Reads original contracts, extracts term, rent, rent-free and escalation clauses, classifies, stores and archives them — including multi-party and supplementary agreements.
Kate
The one that enters and validates all data: structures it, checks consistency and blocks anomalies. Every data change goes through Kate — fully logged and reversible.
George
Independently recomputes key figures, spots over-, under- and mis-billing, and outputs a traceable reconciliation report.
Aria
Answers tenants: bill breakdown, payment timing and repair progress, in real time.
Librarian
Captures operating rules and documents so people and system search one shared source.
One layer of agents at the core,
connecting both ends, the back office and the data.
Traditional products spread dozens of modules flat and rely on people to click, fill and check each one. We add a layer of agents at the core — requests from both ends go to it first: parse, compute, execute, respond. The results then land in the back-office domains and data. Both ends, back office and data all revolve around one set of agents — that is what “connected” means.
Every agent action is written to your own database — queryable, exportable and traceable.
Integrates with in-building hardware and third-party services, and can push data out to your existing systems.
First scenario: building operations
It manages a real, operating office building: every floor layout, every room's status and every contract clause is real and accurate. The same system fits office towers, industrial parks and mixed-use complexes.
Hundreds of rooms are color-coded by payment status — overdue, near-due and settled are obvious at a glance, and who to chase first is clear.
Once it works for buildings, the same capabilities extend to more lines of business.
What makes AI actually execute isn't a chat window but three underlying capabilities: parsing raw material, computing precisely by the rules, and dividing tasks across multiple agents (MA + WA). None of the three is industry-specific — buildings are simply the first scenario we've proven.
Understands raw material
Contracts, invoices, receipts and other unstructured documents are parsed, extracted and archived directly. Across industries only the document type changes, not the capability.
Computes and reconciles precisely by the rules
Turns business rules into automatic computation and reconciliation: receivables are computed automatically and errors are detected and corrected. For buildings it lays out rent plans; for other industries, their own accounting systems.
Divide, coordinate, confirm before any data change
Each role has one Manager Agent (MA) directing N Worker Agents (WA); tasks are packaged as ATC task cards — data, rules and execution in one standard unit (what / how / execute / verify). ERP keeps the books, ATC does the work; any data change is confirmed by you first, logged across five layers and reversible. This coordination and control mechanism is industry-agnostic.
* All three capabilities are running in production in the building scenario; everything stated reflects the real product's progress.
The data is yours. So is the system.
No need to hand your core data to a third-party platform account. From the domain and database to the mini-program, the whole system is yours.
The entrance is in your hands
Access the system through your own domain — you decide who gets in and how.
Anchored to the physical world, append-only
Every datapoint is anchored to something real that doesn't change — a room, an elevator, a meter; original records are append-only, exportable, traceable and backed up daily — the precondition for letting agents act on their own.
An asset that belongs to you
The mini-program is your own asset, not a rented account on someone else's platform.
A few questions you may have before going live.
QWhere is the data actually stored? Can the platform see it?
All data lives in your own database, behind your own domain and mini-program, with every action logged and auditable — not the model where you log into a third-party account and your data sits on someone else's servers.
QWill the agents change data on their own?
No. Any data change is first drafted for your review and written only after you confirm; permissions are scoped by role and every action is logged and auditable.
QCan our existing contract and billing data be migrated in?
Yes. Original contracts are parsed, stored and archived by the John agent; historical bills can be imported and recomputed against the clauses, and at go-live George runs a data audit to reconcile everything.
QDoes it work whether we have one building or dozens of projects?
Both. One system manages anywhere from a single building to dozens of projects; each floor is drawn to its real layout, multiple buildings are managed independently, and it fits office towers, parks and complexes alike.
See it run end to end on your own building.
Book an on-site demo covering the full flow from leasing and signing to automatic monthly rent collection; or scan to add us on WeChat for a one-on-one chat with an advisor.
