AI for property management that takes maintenance triage, leasing inquiries and month-end reconciliation off your team

We build AI agents for the work your property managers, leasing team and accountants do by hand, inside the property management system you already run. A person approves every vendor dispatch and every payment, and every run is logged.

Book a Discovery Call Start with an AI Audit

Jason, our COO, runs the call and scopes the first workflow with you.

Agent run: maintenance requestSample

Tenant portal, Unit 4B, 11:52 pmWater is coming through the kitchen ceiling. Two photos attached.

ClassifiedActive leak, ceiling. Emergency under your priority rules
Done
Tenant answeredShut-off valve location from the unit file, and that a manager is reviewing
2 min
History checkedUnit 5B above: dishwasher work order closed 9 days ago
Linked
Vendor proposedOn-call plumber from your approved vendor list
Done
Dispatch approvalOn-call manager approves by text, with the photos and history attached
Approve
Written backWork order in your system, vendor notified, tenant updated, run logged
Done

What the agent can seeOnly the fields this task needs. Ledgers and applications are never retrieved.

Tenant name: M. R••••
Request text and photos: Visible
Unit work-order history: Visible
Approved vendors and rates: Visible
Rent ledger and balance: Not retrieved
Application and screening file: Not retrieved

Illustrative run. Priorities, vendor lists and who approves are set per portfolio during scoping.

Clients include

Property management automation, workflow by workflow

Start where requests arrive every day, the rules are already written in your policies, and a person can check the output before a tenant, owner or vendor sees it. These six workflows meet all three.

Maintenance

Maintenance request triage and dispatch

The agent reads each request and its photos, sorts emergencies from routine work under your priority rules, asks the tenant for what is missing, and proposes a vendor with the unit history attached. Your manager approves the dispatch.

How the agent finds the unit history

Leasing

An AI leasing assistant for inquiries and showings

The agent answers availability, pricing and pet-policy questions from your listing data at any hour, offers showing slots from your leasing team's calendar, and books them. Anything about eligibility goes to a person.

Try it first as an AI pilot

After hours

Tenant communication after hours

A property management chatbot answers evening and weekend messages, and a second agent checks every reply before it sends. Emergencies page your on-call manager, and the workflow files the ticket.

How a second agent checks every reply

Leases

AI lease abstraction

The agent reads each lease and amendment and extracts commencement and expiry dates, rent steps, renewal options, CAM terms and notice windows, each with its page reference, for your team to confirm before it reaches your system.

Same document pipeline as our invoice automation

Accounting

Rent and AP reconciliation

The agent matches bank lines to rent receipts, reads vendor invoices against work orders, and flags every mismatch with the reason. Your accountant approves each payment and journal entry.

See AI invoice automation

Owners

Owner reporting

Figures are calculated in a database from your ledgers, and the model writes the commentary around finished numbers. Your team reviews each report before it goes to the owner.

See how a build runs

A property management chatbot that cannot promise what nobody approved

An agent that answers tenants at 2 am will one day promise a technician who is not coming. We build a second agent that reads every reply first and sends it back for a rewrite when it breaks one of your rules.

Tenant chat, Unit 3C, 2:14 am

TenantThe heat is out and it's freezing in here. Can someone come tonight?

Draft reply, blockedA technician will be there within the hour.

Reply sentI've logged this as an emergency and alerted the on-call manager. You'll get a text as soon as a technician is assigned.

BLOCK
Promises an arrival time. No dispatch has been approved. Rewrite without a time.

PASS
States what happened and what happens next. No promise beyond your rules.

What the workflow does

no-heat · emergency · ticket created by workflow · on-call manager paged · reply checked · run logged

Second agent

Every reply checked before it sends

A checking agent reads each draft against your rules on fees, lease terms, arrival times and eligibility. A blocked draft goes back to the chat agent as a rewrite instruction and never reaches the tenant.

See how approval gates work

Tickets

The workflow files the ticket

The chat agent has no permission to create tickets or dispatch anyone. When it tells a tenant a request is logged, the workflow creates the ticket in your system, so a promise in the chat is always backed by a record.

See the enterprise AI chatbot

Testing

Tested on hostile scenarios before launch

We write a set of hostile test scenarios from your own tenant messages and run the agent against them in staging, before it answers a single tenant.

See how we work

Most property managers now use AI, and few have automated a whole process

56%

of owners say maintenance support is the main reason they hired a property manager, and it is their top source of stress

Source: Buildium, 2026 Property Management Industry Report. Taken on by the maintenance triage agent.

Buildium's survey found AI adoption among property management companies rose from 20% in 2024 to 58% in 2025, while only 8% had fully automated any process. We build for the gap between the two, with agents wired into your systems that carry a request from intake to a record.

58% used AI in 2025

Up from 20% a year earlier. A model that answers a question still leaves someone to copy the answer into your system.

8% have fully automated a process

Our agents read and write your systems directly. The request comes in, the work order goes out, and a person approves the step that carries cost or risk.

Maintenance is why most owners hire you

That makes maintenance triage the workflow we suggest scoping first: a dispatch that arrives with the photos and unit history attached, approved by your manager.

Start with one workflow

Pick the request type with the most volume and the clearest rules. The AI Audit ranks your candidates by value, effort and risk against what your systems allow.

Source: Buildium, 2026 Property Management Industry Report (key findings).

What the agent does, and what a person approves

Every workflow has a written line between the two, agreed during scoping and enforced in the build. The agent cannot cross it, and every run records what it read, what it changed and who approved it.

Workflow	The agent	A person
Maintenance request	Reads the request and photos, sets the priority, checks unit history, proposes a vendor	Approves the dispatch
Leasing inquiry	Answers from your listing data, offers showing slots, books the showing	Handles eligibility, screening and exceptions
After-hours message	Drafts the reply, which a second agent checks before it sends	On-call manager takes every emergency
Lease abstraction	Extracts dates, rent steps, options and clauses with page references	Confirms each abstract before it enters your system
Reconciliation	Matches bank lines, receipts and invoices, flags each mismatch with a reason	Approves every payment and journal entry
Owner report	Calculates figures in the database, drafts the commentary	Reviews before it goes to the owner

Tenant and owner data stays in your environment

Your cloud

Built where your data already lives

We deploy on self-hosted n8n inside your own cloud account, behind your own auth, so the workflow, its logs and the tenant data it touches stay with you.

See what we build on n8n

Scoped access

Each agent reads only what its task needs

A context layer between your systems and the agents limits each task to its fields. The maintenance agent sees the unit and its work orders, and never a ledger or an application file.

See the context layer

After launch

Run by the engineers who built it

Error alerts go to the team that built the workflow, and weekly sprints add the next request type. We also take over workflows another team built, starting with a technical assessment of their quality.

See AI managed services

How a property management AI build runs

The same team carries your workflow from the first call to the system running in production, and every build is tested in staging before it goes live. See how we work

Jason, COO
AI Audit, if you need one
Eight phases across strategy, operations, data and systems over 4 to 8 weeks, ending in a ranked 90-day roadmap. The fee is credited toward your first build.
Jason, COO
Scope
One workflow, the systems it touches and what it will take, agreed before you commit. Owen joins the first calls until you are onboarded.
- The request types the agent handles
- The steps that always go to a person
- The timeline, before you sign
Maciej, CTO
Build
Built against your real data, in your environment, as production software from the first week.
- Staging first, tested on your own past requests
- Your managers use it on real cases before go-live
- Self-hosted n8n in your cloud
Jason, COO
Integrate
Into production behind your auth, your approval rules and your monitoring, with your team trained on it.
- Runs behind your own auth
- Approvals where your managers already work
- Your people trained on the system
Maciej, CTO
Run and improve
Watched, fixed and extended in weekly sprints by the engineers who built it.
- Error alerts to the engineers who built it
- Weekly sprints that you direct
- The next workflow, scoped with you

What property managers ask about AI

Ask us something else

How do you use AI in property management?

Point it at the work that arrives every day and follows written rules: maintenance requests, leasing inquiries, after-hours messages, lease abstraction, reconciliation and owner reports. An agent does the reading, sorting and drafting inside your systems, and a person approves the steps that carry cost or risk, such as a vendor dispatch or a payment.

Is this AI property management software, or does it work with the system we have?

It works with the system you have. We build agents around your property management system, accounting, inbox and calendars, and connect through whatever each one exposes: an API, a reporting database or scheduled exports. The AI Audit confirms what your systems allow before anything is quoted.

Which AI is best for property management?

The one that suits each task. Reading a lease or a messy maintenance request needs a strong language model, while routing a request by type needs fixed rules and no model at all. We use models from providers such as OpenAI, Anthropic and Google, or an open model you host, and pick per step.

Will AI replace property managers?

No. Agents take the intake, sorting, scheduling and first drafts, and your managers keep the decisions: approving dispatch, handling disputes, walking units and talking to owners. In every build we write down which steps always go to a person before anything is built.

Can an AI leasing assistant book showings?

Yes. The agent answers prospects from your listing data, offers open slots from your leasing team's calendars, books the showing and sends reminders. Questions about eligibility or an exception go to your leasing team.

How do the agents handle fair housing rules?

Your counsel sets the rules, and we build them in as mechanisms. Every prospect gets answers from the same listing facts, eligibility and screening decisions stay with your people, a second agent checks each reply against your rules before it sends, and every conversation is logged for your team to review.

How long does a build take, and what does it cost?

Timelines are scoped per workflow, and you get the timeline and price in writing before you sign. If you want to see one workflow working on your own data first, an AI pilot costs $35,000 to $75,000 over 2 to 6 weeks and is credited toward the build. If you have several workflows in mind, the AI Audit costs $10,000 to $100,000, takes 4 to 8 weeks and ends in a ranked 90-day roadmap, and its fee is credited toward your first build.

Do you work with residential and commercial portfolios?

Yes. The workflows differ more than the build does: residential portfolios run on volume, with many maintenance requests and leasing inquiries, while commercial portfolios carry long leases with CAM terms, rent steps and options, where lease abstraction and reconciliation matter most.

Industries that share your contractors, ledgers and owner reports

If you also manage contractors, close the books for owners or track insurance certificates, these pages cover the workflows next to yours.

Construction

AI for construction

Contract review, bid leveling, submittals and pay applications for general and specialty contractors, with your team approving every decision.

See AI for construction

Finance

AI in accounting

Reconciliations, close files and tax workpapers inside your firm's systems, with an accountant signing off.

See AI in accounting

Insurance

AI for insurance agents

Certificates, renewals, quote intake and claims intake for agencies, brokers and MGAs, with a licensed person approving coverage.

See AI for insurance agents

Investors

AI in private equity

Deal screening, data room review with page citations and portfolio KPI pack monitoring, in the firm's own cloud.

See AI in private equity

Not ready to book a call yet?

Decide

AI Audit

Eight phases across strategy, operations, data and systems, ending in a ranked 90-day roadmap.

See the AI Audit

Prove

AI pilot

A working proof of concept on your own requests and data, before you commit to the full build.

See the AI pilot

Govern

Enterprise AI governance

Approval gates, second-agent checks and a log of every step, built into the system in your own cloud.

See AI governance

Put your first workflow on the board

Answer a few questions about your team and what you want automated, then Jason scopes it with you on the call.

Owen, Maciej, Jason, Oskar and Ben