We build narrow AI tools that work alongside the software you already run. The AI does the repeatable work, like logging a maintenance call or drafting an inspection report, and your people stay in charge. A person checks every output before it goes out.
Who this is for
You're a COO, VP or Director of Operations at a property management company in the US or Canada. Your team already runs on property management software, and you're not looking to replace it. You're looking for the hours your coordinators, inspectors and leasing agents lose every week to work that's the same every time.
You're also skeptical, and you should be. You worry about residents, fair housing and audits, and you want to know what a tool does, what it doesn't do, who checks it, and how to test it cheaply on one job before committing to anything bigger. These are the pressures we hear about most.
A leaky faucet and a gas smell arrive on the same line, often at night, and someone has to sort one from the other.
Prospects call and message at 9pm. Most of those enquiries sit in voicemail until the office opens.
Inspectors spend the evening turning notes and photos into a report instead of doing the next inspection.
Someone has to open every tenant file to find the expired certification or the missing income document before an auditor does.
Residents and staff ask what the lease says about pets, parking or early termination, and the answer depends on which lease version they signed.
Every new tool touches resident information, so you need to know where it goes, who sees it and what gets kept.
Five jobs we take off your team
We don't sell a platform that promises to run your operation. We build one tool for one job, in the words your team already uses for it, and we're specific about where the tool stops and your people take over. Pick the job that costs you the most hours and start there.
Proof
We'd rather show you three things we can stand behind than a wall of logos. Each one maps to a job above: inspections, document questions and phone calls. In each case the system did the repeatable part and a person stayed responsible for the result.
Inspections
Our founder worked on the backend of US Inspection Group's HUD inspection platform, which has inspected over 3.6 million units. That's where we learned how inspection data actually moves, from the inspector's notes to the finished report a reviewer signs.
Read the case studyDocuments
Our founder built an AI document question answering system for a YC backed legal tech startup. It's the same approach we use for leases: answer from the document itself, show the passage the answer came from, and let a person check it.
Phone calls
We've built a voice AI integration for dental software (Eaglesoft). A phone agent that has to work with the system an office already runs is the same problem as a maintenance line that has to log work orders where your team will see them.
How we work
You shouldn't have to bet a budget on a demo. Every engagement starts small, on one job your team picks, and only grows if the tool earns it on your real work. Here's the path.
We look at one job your team does every week, how it moves through your software and your people today, and whether AI can take the repeatable part. If it can't, we'll tell you.
We build the tool for one job on your real examples, with your rules written down first. The scope is agreed before we start, so you know exactly what you get.
If the proof of concept holds up, we build it out for the rest of your portfolio, with the review steps your team chose kept in place.
We keep tuning the tool as your rules, properties and forms change, and we review what it got wrong with your team so it gets fixed at the source.
The pilot is the entry offer. It covers one job on one property or one team, and a person reviews every output for the whole four weeks. At the end you'll know whether the tool is worth building out, based on your own calls, reports or files.
Week 1
We write your rules with your team: your emergency list, your checklist, your report format, and where the tool must hand off.
Week 2
Your staff test it on safe examples. Test calls, old inspection notes, sample files. We fix what they catch.
Weeks 3 and 4
It runs live on one property or one job, and a person reviews every output. You judge it on real work, not a demo.
Where a person stays in charge
Every tool we build is useful because of where we stop it. The AI drafts, logs, flags and quotes. It never approves an applicant, settles a dispute, interprets a lease exception or signs off a compliance file. We write these limits down with your team before anything goes live.
We build tools that organize an applicant file. A person decides, against your written criteria, every time.
Anything a resident pushes back on goes to a person, not back into the system. The AI takes the details and gives a clear next step.
Our tools quote the clause. They don't improvise what a clause means for a specific exception.
The checklist flags gaps. A person confirms they are fixed and signs off on the file.
When the AI isn't sure, it says so and hands off to a person instead of guessing.
None of this makes the AI less useful. It keeps the tool on the parts of the job that are genuinely repeatable, and out of the way for the parts that need a person's judgment and a person's accountability.
FAQ
What sits underneath
In a free 30 minute workflow review we look at one job your team does every week, where a person needs to stay in charge, and what a four week pilot on it would look like. No slides, no pressure.