An AI agent for real estate investors
that screens deal flow and answers LPs, not a financial advisor
A fund or an active investor sees more deals than anyone has time to screen properly, and limited partners ask the same handful of status questions between formal reports. We build an agent that screens incoming deals against your own criteria, collects diligence documents and answers LP questions from your real portfolio data, while anything that looks like investment advice goes straight to a human.
Why real estate investors and funds lose money today
A fund or an active investor sourcing deals sees far more opportunities than anyone has time to properly screen, and industry data on deal flow management consistently shows analyst time going disproportionately to opportunities that would have failed a basic screen in the first five minutes, simply because nobody triaged them before a full review started. A deal that clearly misses the fund’s size or location criteria still takes real time to confirm it misses, time an analyst could have spent on something that actually fit.
The second problem is diligence document collection. A deal moving to the next stage needs financials, title documents, inspection reports, and chasing a broker or seller for the same missing document repeatedly is exactly the kind of manual follow-up that eats a week without advancing the deal itself.
The third is LP communication between formal reports. Limited partners ask the same handful of questions, how is a specific property performing, when is the next distribution, what is the fund’s current occupancy, and a fund without a fast way to answer those either interrupts an analyst’s actual work or lets the LP wait, both of which cost goodwill with the people whose capital funds the next deal.
A fourth, easy to underestimate, is the risk of an informal answer drifting into something that sounds like a recommendation or a projection. A team member trying to be responsive to an LP’s question can slide from “here is what the portfolio currently shows” into “here is what I’d expect going forward,” which is exactly the territory a fund wants to stay out of outside a formal, reviewed communication.
What we build for real estate investors and funds
An agent that takes incoming deal flow and screens it against written criteria you give us, deal size, asset type, location, return threshold, flagging each as a clear pass, a clear miss, or needs-review, so an analyst’s time goes toward the deals actually worth a full look. Diligence documents get collected against a checklist matched to the deal type, logged with a timestamp so a deal lead can see what is still missing without chasing a broker by email.
The same agent answers LP questions from your real portfolio and fund administration data, specific property performance, distribution history, current occupancy, and hands off to a human the moment a question asks for a recommendation, a projection, or anything resembling investment advice. Screened deals route to the right partner or analyst based on the rules you set, so a deal matching one partner’s specialty does not sit in a general queue.
Typical integrations: a CRM like HubSpot or amoCRM, a deal tracker or Google Sheets pipeline, your fund administration system or cap table software for LP data, and a document storage system for diligence files.
For funds running several active strategies at once, deal screening can run separate criteria sets per strategy, so a deal that fits one fund’s mandate and not another gets routed correctly from the first message rather than sorted manually later.
The agent also keeps a consistent record of why a deal was screened out, size, location, asset type, return threshold, which matters more than it looks like it should: a fund that cannot explain why it passed on a deal six months ago, when that deal’s sponsor circles back with an improved offer, is making the same decision twice with half the information it had the first time. A logged screening reason means the second look starts from where the first one actually ended.
What stays with humans
The agent never recommends a deal, never projects a return, and never answers an LP’s question about what they should expect going forward. Any message that asks for an opinion, a forecast, or advice about where to put money goes to a human immediately, with the conversation attached, since that is precisely the territory that needs a licensed, accountable person, not a model.
Price and timeline
| Model | Price | What it covers | Timeline |
|---|---|---|---|
| Agency runs it | from $2,500 | We build, host and tune the agent; you get a working system and a support plan | 4 to 6 weeks |
| Full control, handover-ready | from $4,250 | Same build, plus full source, infrastructure and a written handover so your own team can run it without us | 5 to 7 weeks |
Running cost is separate and usually $20 to $200 a month in model usage depending on deal and LP volume, with a hard budget cap set before launch.
Related
Pair this agent with a Telegram bot for real estate investors if deal-alert logistics alone fit your operation better right now, or analytics for real estate investors to give both the agent and your team a cleaner portfolio data source. The investor update AI agent and the real estate listing syndication automation cover adjacent pieces of the same workflow. See the full package breakdown on the AI agents service page, read how a multi-channel agent holds a consistent playbook in the AI sales agent case study, or get a written plan with a fixed price for your fund.
FAQ
How much does an AI agent for a real estate investment fund cost?
Our Sales agent package starts at $2,500: deal flow intake, screening, LP FAQ, document collection, live in 4 to 6 weeks. A single-purpose deal-intake assistant starts at $1,500.
Does it give investment advice or recommend a deal?
No, and that line is fixed in the playbook. It screens a deal against written criteria you give us, pass or needs-review, and answers LP questions from your actual portfolio numbers. Any question that asks for a recommendation, a projection, or an opinion on whether to invest goes to a human, never the agent.
How does the screening actually work?
Against criteria you write out in advance: deal size, asset type, location, cap rate threshold, whatever your fund actually screens for today. The agent flags a deal as a pass, a clear miss, or needs-review, and an analyst makes the real call, the agent never does.
Does it work with our CRM or deal-tracking system?
We integrate with a CRM like HubSpot or amoCRM, a deal tracker, or a Google Sheets pipeline where that is what your fund actually runs. If there is no reliable integration point, we tell you before the project starts.
Can LPs ask about their specific position, not just general fund updates?
Yes, as long as that data exists in your cap table or fund administration system. The agent answers from real records, position size, distributions to date, never from a guess, and routes anything about a specific return projection to a human.