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AI agents · property management

AI for property management, set up inside the tools you already run.

Your software already has AI. The work between your systems is still done by hand: the report that pulls from three places, the request someone retypes, the owner email someone has to check. We take one of those workflows, build an AI agent that works with Yardi, EliseAI, your inboxes and your spreadsheets, and train your team to run it. A person approves every hand-off.

No new platform to log into.

Sound familiar?

If your team does any of these by hand, start here.

  1. Copying maintenance requests from the inbox or the leasing AI into the work-order system.
  2. Answering the same owner and resident questions by email, again and again.
  3. Building the pricing or leasing report by hand from Yardi, the leasing tool and a spreadsheet.
  4. Pulling the same occupancy and rent figures from two systems before every meeting.

Software and us

Use your vendor's AI where it works. We build what falls between.

Property management software ships its own AI now, and it's good at what it's built for. Most teams run several systems, though, and each vendor's AI stops at the edge of its own.

  • Your software's AI does well

    Answering prospects and residents around the clock, by chat, text and phone.

    What it usually leaves to your team

    Deciding the rules: what counts as an emergency, what residents may fix themselves, who gets called.

    What we do

    Write those rules down with you, and make sure each request lands with the right person, with the unit and its history attached.

  • Your software's AI does well

    Working inside its own system: leasing in the leasing tool, accounting in the property management system.

    What it usually leaves to your team

    Anything that has to cross systems: the report from Yardi plus the leasing tool plus a spreadsheet, the request retyped from one tool to another.

    What we do

    Build the agent that reads from each system you already run and puts the result where your team already works.

  • Your software's AI does well

    Shipping new AI features every few months.

    What it usually leaves to your team

    Picking which work to hand over, setting permissions, getting staff to trust it.

    What we do

    Pick one workflow, name the person who approves it, train the team that runs it, and measure it against doing it by hand.

  • Your software's AI does well

    Its own guardrails, inside its own product.

    What it usually leaves to your team

    One record of what the AI did across tools, and who approved it.

    What we do

    A run log for every step, a named approver on every hand-off, and an off switch you control.

The four patterns · in property management

What it watches. What it drafts. Who signs.

Every agent has the same three answers written down before it runs. If one of them is missing, it isn't ready, and it doesn't ship.

  • 01Maintenance intake and triage

    Every request from the shared inbox, the resident portal, the leasing AI or the after-hours line gets read, classified and routed to the right person, with the unit and its history attached.

    Watches
    Wherever requests already arrive. If your leasing or resident AI already takes requests, the agent picks up from there instead of replacing it.
    Drafts
    The classification (what, how urgent, which property and unit), the work order, and a first reply to the resident.
    Signs
    The person who reads that inbox today approves or edits before anything is sent or dispatched.
  • 02Owner and resident email

    Replies written from your templates, policies and records, routed to the person who signs.

    Watches
    Approved intake, the property's records, your templates, policies and fee schedules.
    Drafts
    The reply, with its sources listed so the approver can check them.
    Signs
    The property manager or community manager who owns the relationship.
  • 03The report that pulls from three places

    Rents and occupancy from the property management system, leasing activity from the leasing tool, and the team's pricing sheet in one report every morning, checked against yesterday.

    Watches
    The systems the report is built from today.
    Drafts
    The report, with anything that moved since yesterday called out.
    Signs
    The leasing lead, before it goes to the team.
  • 04Dashboards across systems

    Live views of the figures people pull by hand today (occupancy, rents, leasing activity, work orders), on one screen, from the systems you already run.

    Watches
    The same systems, on a schedule, using definitions the team agrees on once.
    Drafts
    The dashboard and its data notes: what each number means, where it came from, when it last refreshed.
    Signs
    The owner of each number signs off on its definition before it goes live.

Case 01 · property management · Cincinnati, OH

One report from Yardi, EliseAI and the pricing sheet, before the leasing calls start.

Rents and occupancy from Yardi, leasing conversations from EliseAI and the team's pricing sheet come together in one report every morning, checked against yesterday, signed by the leasing lead.

Case 01 · Property managementCincinnati, OH

Towne Properties · Daily and weekly pricing reports from Yardi, EliseAI and the pricing sheet

  1. PRICING REPORTS

  2. LEASING LEAD SIGNS

  3. SENT TO THE TEAM

8+ hours by hand → 10 minutes

per report; running about a month, against building it by hand in Yardi

Status
Live in 1 week
Signed by
Signed by Leasing lead
Read the case study

Read the case study →

Controls

The controls you keep

  • A person approves

    Each agent has a named role that signs before work goes out. You choose who.

  • A run log

    Every step the agent takes is written down, and you can read it any day.

  • An off switch

    You can pause or stop the agent yourself, at any time.

  • Only the access it needs

    The agent gets the narrowest access the job allows, inside your own systems.

  • You own it

    Our standard is that what we build for you is yours, agreed in writing.

  • Changes are signed too

    Changes to what the agent does go on a new revision of the sheet, signed like the first.

See the controls you keep →

Questions

What property managers ask us

Who can set up AI to handle tenant requests and maintenance tickets inside the software we already use?

DH Studios builds AI agents for property management teams that work with the systems they already run. The agent reads each request, drafts the work order and the reply, and routes it; the person who handles that inbox today approves before anything is sent or dispatched.

We already use EliseAI and Yardi. Can someone connect them so we stop copying data between them?

Yes. Our published property-management case reads rents and occupancy from Yardi and leasing conversations from EliseAI, next to the team's pricing sheet, in one report every morning that the leasing lead signs.

Should we buy AI software like EliseAI, or hire someone to build AI into our current systems?

Often both. Buy the software for what it does at scale, like answering prospects and residents around the clock. Bring in someone like DH Studios for work that crosses your systems, is particular to your company, or needs a person to approve it.

Who can build an AI report that pulls from Yardi and our leasing system into one daily report?

DH Studios builds that report. In our published case, the daily pricing report pulls from Yardi, EliseAI and the pricing sheet, and went from 8+ hours by hand to 10 minutes per report. It went live in 1 week.

How can AI draft work orders and resident replies but have a person approve them first?

Every agent we build drafts, and a named person approves before anything goes to a resident, owner or vendor. Each step is written to a run log you can read any day, and you can switch the agent off yourself.

Can AI handle owner and resident emails for a property management company?

It can draft them. The agent writes the reply from your templates, policies and records, lists its sources, and routes it to the property or community manager, who signs before it sends.

Can AI work with Yardi without replacing it?

Yes. In our published case the agent reads from Yardi and works next to it, so Yardi stays your system of record and nobody learns a new platform.

What's a safe first AI project for a property management company?

Pick one workflow that happens every week, mostly needs no judgment call, and already has one person who owns it, like the maintenance inbox or a recurring report. Time it by hand first, then run a pilot on real work with that person approving every draft.

Who builds dashboards for property managers that combine data from more than one system?

DH Studios builds dashboards on the systems you already run, so occupancy, rents, leasing activity and work orders sit on one screen. The owner of each number signs off on its definition before it goes live.

How much does it cost to have someone set up AI for our property management company?

Our first call is free and takes 30 minutes. After that you get a fixed scope and a fixed price in a written plan we call the Drawing, before anything is built.

Does AI replace our leasing or maintenance staff?

Not in the agents we build. The agent drafts and a person signs; the people who do the work today become the people who approve it.

What about AppFolio, Entrata or RealPage?

We haven't published a case on them yet. We start from what your system lets you connect or export, and if something won't connect, we tell you in the Drawing, before anything is built.

Are you in Cincinnati?

Yes. DH Studios is based in Cincinnati, Ohio, and works with operating companies wherever they are.

Specified. Built. Signed off.

Start with one workflow.

Book a 30-minute call. We look at one workflow together, and you leave with a yes, a no, or a smaller first step.

The first call is free. Pricing is built around your workflow.

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