Agents do work, under your rules
Your agents work from the records in your workspace.
Bring Muse, Grok Bot, Claude, and other assistants into the same picture through MCP, then decide what each one can see or do.
6 residents I would call this week. Ranked by skip-risk score using payment history, ledger, and conversation tone.
6 residents I would call this week. Ranked by skip-risk score using payment history, ledger, and conversation tone.
Agents that maintain the system
They work together to do more than write reports.
Agents observe activity, find people and firms, propose relationship and field updates, show the evidence, and wait for approval. Accepted changes become part of the same record every agent reads.
Peter confirmed the lender package is due Friday. The note is linked to the firm, people, property, and deal.
Next action: Send the lender package by Friday, September 25.
Connected through MCP
Agents that work with the agents you already use.
Connect an outside assistant to your OwnerLM workspace. It can find the right property context, call an OwnerLM agent, and bring the result back to you, all within the access you approve.
See how to connect
Work with OwnerLM agents
Same property records. Separate permissions. One place to review the work.
Browse agentsThe outside assistant reads only the workspace or portfolio information its connection permits.
Callable outside agents can join a workspace assignment. Handoffs keep human in the loop.
Results and sources stay with the work record, under your existing spend and approval rules.
Agents you ask. Others just watch.
Background skills run on a schedule and raise what changed into your inbox and your morning brief. Turn each one on or off, and scope it to the properties or portfolios you choose.
Review Monitor
Watches Google reviews on every property and pings you the moment a bad one lands.
Weather Intelligence
Sends freeze warnings, snow alerts, and severe weather notifications per property.
Competitor Website Monitor
Scrapes nearby competitor sites and detects pricing, special, and amenity changes.
Bad Reviews Watch
Pulls every 1- and 2-star review across your portfolio into one daily digest.
Build the screen you actually need,
on your own data.
Describe what you want to see, or start from a ready app, and it reads the same records your agents read. No exports, no separate reporting tool.
Start from a ready app
Eleven starter apps covering the portfolio, spend, deals, delinquency, leasing, marketing, documents and your contact bench.
Bound to your records
Tables, comparison grids and answers read live from the properties, ledger, leases and documents already in your workspace.
Ask it to change
Describe the view you want and the app changes, so you are not filing a request and waiting on someone else.
Apps that act
Turn a build into a worker that watches for a new email, a parsed document, a bank transaction or a lease coming up, then does the next step.
Still under your rules
Every worker action runs through the same approvals, activity log and one click undo as the rest of the system.
Share it safely
Send a link that stays live or freezes a snapshot, and decide whether the person on the other end can copy it.
A Studio app built from one sentence, reading the same records the agents read.
Studio sits inside your workspace next to the agents, so an app you build today can hand work to an agent tomorrow.
Use the right model without losing control.
OwnerLM can route work across supported models without changing the records, permissions, sources, spend tracking, or approvals behind each answer.
Managed model routing
OwnerLM selects a supported model for the job, records its usage, and keeps your spend and approval rules attached. Your team gets the result without managing each model decision.
The rules page: which agents run on their own, which wait for a person, and the monthly cap.
You are not locked into one model, one chat surface or one vendor interface.
The same agents check the deal,
then keep checking the property.
Before you buy, agents read the offering memo, rent roll, and T-12 together and raise what does not line up. After you own it, they compare what your manager reports against what actually cleared the bank.
I reviewed 142 invoices and 38 approvals across Oakwood. Found 4 patterns worth your attention.
Lewisville is trailing the local comp set on conversion. Tours are healthy, close rate is the leak.
6 residents I would call this week. Ranked by skip-risk score using payment history, ledger, and conversation tone.
I reviewed 142 invoices and 38 approvals across Oakwood. Found 4 patterns worth your attention.
Lewisville is trailing the local comp set on conversion. Tours are healthy, close rate is the leak.
6 residents I would call this week. Ranked by skip-risk score using payment history, ledger, and conversation tone.
AI deal inbox
Forward broker emails or connect Gmail. Agents pull out the offering memo, normalize address, units, and asking price, then score the deal against your buy box.
Cross-document reconciliation
Unit count, occupancy, gross potential rent, and rollover compared across documents with side-by-side values, variance, and severity.
Underwriting risk view
Physical occupancy, 12-month rollover, top-five tenant concentration, and diligence coverage in one place, each tile linked to its source.
Threads on the document
Pin a question to a page or a highlighted quote. Team and guests reply in place, so the conversation stays with the document.
Scoped guest access
Invite lenders, legal, and brokers by role. Each role sees only its slice, comments are optional per invite, and every action is logged.
Report against reality
Every month, what the manager reported sits next to what cleared the bank, line by line, with only the gaps raised to you.
Deposits that never arrived
Rent and fee deposits the report promised but the account never saw.
Fees actually collected
Late fees, pet fees, and utility reimbursements confirmed as collected, not assumed.
Payments out
Unusual amounts and payees who were not in the budget get flagged before the next cycle.
AI deal inbox
Forward broker emails or connect Gmail. Agents pull out the offering memo, normalize address, units, and asking price, then score the deal against your buy box.
Cross-document reconciliation
Unit count, occupancy, gross potential rent, and rollover compared across documents with side-by-side values, variance, and severity.
Underwriting risk view
Physical occupancy, 12-month rollover, top-five tenant concentration, and diligence coverage in one place, each tile linked to its source.
Threads on the document
Pin a question to a page or a highlighted quote. Team and guests reply in place, so the conversation stays with the document.
Scoped guest access
Invite lenders, legal, and brokers by role. Each role sees only its slice, comments are optional per invite, and every action is logged.
You hold the controls
The agents work for you, on your terms.
Set the rules once. Agents inherit them across every workspace, portfolio, and property.
Set how far agents may go
Set the posture once, then tighten it for a portfolio, property, or agent.
Cap what they may spend
Set run and daily limits. Work stops at the cap.
Decide what runs without you
Anything below your confidence threshold waits for a person.
See the work
Sources, approvals, chats, and completed work stay visible.
Managed AI service
Agents work better when someone trains them on the operation.
We configure the agents, review rules, source connections, and recurring work around your team. We keep tuning the system as the portfolio grows.
See the managed servicePut your agents to work today
Free to start. Add a property, connect a source,
and watch the first run.