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Most property software is a system of record. It gives you a cleaner inbox, a tidier ledger, a nicer place to store the lease — and then it hands the actual work back to you. The rent is late; here is a dashboard about it. The toilet is overflowing at 11pm; here is a notification. You are still the one who has to act.

That is the gap we kept running into. The existing tools cost $200+ a month and look like SharePoint, and the free ones do not talk to each other — but even the good ones share the same assumption: that you want to be a faster property manager. We started from the opposite premise. Most owners would rather not be a property manager at all, outside the handful of decisions that genuinely need a person.

Aptoria is AI property management software for landlords and small-to-mid-size property-management firms. Today an account can add properties and units, set the limits Aptoria works within, see the rent roll and tenant balances, a monthly rent reconciliation, and a cash-flow projection, preview a late fee, and fill in notices from templates. The routine moves we set out to take on — rent reminders, maintenance triage, vendor handoffs, tenant messaging, and bookkeeping — are planned, and when they open they will run inside those limits, with human and legal floors where judgment belongs.

The controls are part of the design. When rent payments are enabled, every money movement can be cancelled within 15 minutes; no money moves through Aptoria today. And some decisions always stay with a person: Aptoria never denies an applicant, files an eviction, ends a lease, or deducts from a security deposit on its own, and no setting can loosen that floor.

The center of Aptoria is meant to be a queue, not a report: you open the app and see what has been handled and which decisions need you, with the context for each choice. Aptoria doesn't carry out routine work on its own yet, so today the queue is the design rather than a busy inbox. When those features open, routine steps inside your limits will proceed, and exceptions and human-required decisions will wait for a person.

That inversion is the whole idea. Instead of a tool that surfaces work for you to do, a tool built to do the work and surface the exceptions, so you move from performing the routine to supervising it.

Handing work to an agent only makes sense if you can inspect what happened. Today Aptoria records every change to your limits: what changed, when, and who made it. A record of each action the agent takes, with the policy and context behind it, is planned alongside the actions themselves. A trail like that supports review; it is not a compliance certification or a complete legal archive.

We are early, and we say so plainly. But the shape of the product is fixed: it will act within your limits, ask above them, hard-stop the serious decisions, and keep a record of what it did.