Agent Teams
AI agents for commercial real estate firms
A team of agents embedded in your firm. Each one has its own server, its own email address, its own memory, and its own judgment playbooks, trained on your standards and wired into the tools you already use.
What this looks like on the fifth of the month
The property manager's financials hit your inbox. You forward them to your asset management agent, a colleague with its own email address, and get on with your day.
It reads every statement, loads the numbers into your reporting system, and closes the month. KPIs computed, variances flagged, every flag traced back to the line items behind it. Repairs and maintenance running hot at one property. Delinquency creeping at another.
Later you open the dashboard and ask questions in plain English. Which properties missed budget. What happened to payroll. Where occupancy is trending. It answers from your actual numbers and shows its work. Your ops team copies it on threads like any other colleague, and it drafts the variance notes and the investor updates. You review, edit, send.
That is one agent, in one domain. It barely scratches the surface.
Why most firms get nothing out of AI
Most firms use AI by typing prompts into a chat window. That is the surface. The person typing gets a little faster, the firm gets nothing, and the capability sits unused the moment that person is busy.
The gap between what frontier models can do and what the average firm extracts from them is enormous, and it is not a technology problem. It is an installation problem. The models are already good enough. Almost nobody has done the work of wiring them into the actual systems where the work happens, with the actual standards a specific firm holds.
That wiring is the whole job. An agent that cannot reach your model, your ledger, and your pipeline is a very expensive way to generate paragraphs.
Roles we put in production
- 01Asset management: the monthly close, asset plans, variance notes, investor updates
- 02Underwriting: every deal screened the moment it lands, through your own model
- 03Acquisitions: pipeline triage, broker follow-up, IC memos drafted before the tour
- 04Market analysis: rent comps, supply pipeline, and submarket briefs refreshed weekly
- 05Marketing: campaigns, collateral, and listings written in your firm's voice
- 06OM and BOV production: design-grade offering memoranda and BOVs, graphics included
- 07Transaction management: checklists run, documents chased, deadlines hit
- 08Lease abstraction: terms extracted, written into the model, reconciled against underwriting
How the verification loop works
Every agent acts through custom MCPs into the same software your people use. Not a parallel system, not a chat transcript you have to trust. The same database, the same canonical state, two different ways in.
That architecture is what makes the work auditable. When the agent closes the month, you can open the software and see every number it wrote and every line item behind it. When it drafts an investor update, you can trace each claim to the figure it came from. Edit it, approve it, ship it.
Every firm runs in an isolated environment. Production access uses two-factor authentication, each connection is limited to what the agent needs, credentials are managed outside the application, and systems are backed up on a defined schedule. Capability only expands when the controls expand with it.
The agents do the work. Your people judge it. Trust through audit, not through hope.
Questions we get asked
- What is an AI agent, in practice, for a real estate firm?
- A colleague you can email. It runs on its own secure server, has its own address, keeps its own memory of your firm's standards, and works around the clock. You forward it the property manager's financials and it closes the month. You copy it on a broker thread and it updates the pipeline. The difference from a chatbot is that it acts on real systems rather than producing text about them.
- How is this different from ChatGPT or Copilot licenses for our team?
- A chat license makes each person slightly faster at typing. An agent team does work while nobody is typing. The other difference is context: a general assistant knows nothing about your buy box, your chart of accounts, or your reporting format, so someone has to explain the firm every single time. These agents are trained on your standards once and keep them.
- What stops an agent from shipping something wrong?
- Your people do. Every agent works through software you can open and audit. You see exactly what it did, at the line-item level, and you approve before anything leaves the building. That verification loop is the design, not a safety feature bolted on afterward. An agent whose work you cannot inspect is not something we would sell you.
- What does it cost?
- Two agents run $1,500 a month. A team of up to five runs $3,000 a month. Each agent beyond that is $500 a month. Priced as a team rather than per seat, because that is what it is: a department. It is less than one junior analyst, and nobody on the team takes a vacation or leaves in eighteen months.
- How long until the first agent is working?
- Weeks, not quarters. We start with the single most repetitive thing your firm does every month, get that running in production, and grow the team from there.
- Where does our data live?
- On infrastructure we run for you, isolated per client, with the code in your own GitHub organization and nightly backups. Every action is logged and reversible. Client privacy is non-negotiable and nothing is ever shared across firms.
Hire the team, not the seat.
Thirty minutes, no deck. Tell us the most repetitive thing your firm does every month and we will tell you whether an agent should be doing it.
Schedule a 30-minute call