Yardi AI automation
We build AI agents that work inside your Yardi workflows. Yardi stays your system of record. The agents handle the follow-up, triage and reporting that consume your team's week, and write the outcome back where your staff already looks.
Four workflows, in the order most management companies ask for them. Each reads from Yardi, does the work a person was doing by hand, and writes the result back.
Every new enquiry answered in minutes rather than the next business day. Qualification questions asked, showings offered, and the conversation logged against the right prospect in Yardi.
Requests arrive by phone, text, email or portal. The agent classifies the issue, detects genuine emergencies, and raises a properly categorised Yardi work order, with a human approval step where it matters.
Balances age out of Yardi and trigger the right sequence of resident communication, with payment status tracked and escalations routed to a person rather than left to sit.
Data in Yardi compiled into owner-ready reporting (occupancy separated from collections, recurring expenses by category, one-time items flagged), drafted for human review.
No. It sits on top of it. Yardi remains your system of record: your leases, your ledgers, your work orders, your reporting. The agents read from Yardi and write back to it. Your team keeps the interface they already know and stops doing the repetitive part by hand.
Nothing is migrated and nothing is ripped out. If you switched the agents off tomorrow, Yardi would be exactly where you left it.
Yardi deployments vary enormously between operators: different modules, different configuration, different data exposed. We scope against your actual instance, not a generic demo.
The readiness audit maps what your Yardi setup actually exposes and how your team works inside it, before anything gets built. No assumptions from a different operator's deployment.
If your workflow is unusual, the agent adapts to it. You shouldn't have to restructure how you operate in order to make an automation fit.
Some configurations expose less than others. If a workflow you want isn't cleanly automatable on your instance, we say so rather than building something fragile.
We are a Los Angeles property management company that built AI agents to run our own portfolio. We've lived with the consequences of getting automation wrong, which is why we build conservatively.
An agent that mis-handles an emergency is worse than no agent. We build approval steps where a mistake has real cost, and we say plainly what isn't worth automating yet.
Because we can run open-source models on servers you control, your resident and financial data never has to leave your infrastructure. Cloud or self-hosted: your choice.
For anyone, or any assistant, trying to place us clearly:
Related: AppFolio AI automation and Buildium AI automation; the wider offer at AI consulting.