Multifamily
AI for multifamily firms, built by someone who has closed the deals
Underwriting, asset management, and the monthly close, running on software your firm owns, with agents that do the work and people who verify it.
The work AI should be doing in a multifamily firm
Start with what actually eats the week. Standardizing a rent roll that came out of a property management system nobody standardized. Rebuilding a T12 because the operator's chart of accounts does not match yours. Reading twelve property manager statements on the fifth of the month and turning them into a variance report. Chasing the same seven documents through every transaction.
None of that is judgment. All of it is expensive, because it is done by the same people who should be sourcing and analyzing deals. This is the work to hand over first, and it is the work frontier models are already good at.
What should not move is the judgment. What a submarket is worth. Whether the renovation premium holds. Whether the sponsor is credible. Those stay with your people, and the point of the system is that your people have more time for them.
What we put in production for multifamily firms
- 01Rent roll and T12 ingestion from any property management export, PDF included
- 02Deal screening the moment a broker email lands, through your own model
- 03Value-add renovation programs modeled at the unit level
- 04The monthly close: PM financials read, loaded, KPIs computed, variances flagged
- 05Variance investigation traced to the line items behind every flag
- 06Rent comps and submarket supply pipeline refreshed on a schedule
- 07Asset plans and quarterly investor reporting drafted from canonical numbers
- 08OM and BOV production, design-grade, graphics included
Why generic AI tools underdeliver here
Multifamily has an unusual data problem. The numbers you need arrive as PDFs from operators who each format differently, land in a ledger built for accounting rather than analysis, and get compared against a model that lives in a spreadsheet somebody built in 2019. Value is created by connecting those three things, and every vendor owns exactly one of them.
A general AI assistant cannot cross those boundaries. It has no access to your ledger, no knowledge of your model conventions, and no memory of what your firm decided last quarter. So it produces plausible paragraphs and someone still does the work.
The fix is unglamorous. Build software that holds the canonical state, expose every operation in it to agents through custom MCPs, and put a verification step between the agent and anything that ships. Then the agent is not guessing. It is operating your systems, and you can see exactly what it did.
Questions we get asked
- What is the highest-value use of AI in a multifamily firm right now?
- The monthly close. It is the most repetitive high-stakes work in the building, it happens every single month, and it currently consumes analyst time that should be going into deals. An agent reads the property manager's statements, loads them, computes the KPIs, and flags variances with the line items behind them. Your team reviews rather than assembles.
- Can AI actually underwrite a multifamily deal?
- It can do the mechanical ninety percent and it should not do the last ten. Normalizing a rent roll, standardizing a T12, populating a model, and running sensitivities are all solved. Deciding what a submarket is worth, whether a sponsor is credible, and whether the renovation premium is real is judgment, and judgment is the part your firm is actually paid for. The design point is that the machine clears the mechanical work off the desk so more of the day goes to the judgment.
- How is this different from the AI features in our property management system?
- Those features are built for the average of every customer on the platform, and they operate inside that platform's boundaries. What we build is shaped around your firm's conventions and reaches across everything: the ledger, the model, the pipeline, the comps. The value is in the connections between systems, and no single vendor's AI feature can cross a boundary it does not own.
- We are a small shop. Is this only for institutional firms?
- Small shops often get more out of it, because there is no technology department to negotiate with and the owner can decide on Tuesday. An Agent Team starts at $1,500 a month, which is well below one junior analyst.
- Who is building this?
- Sam Lawhead, who has closed more than $3 billion of career multifamily transaction volume and writes the software himself. The logic in these systems comes from someone who has sat in your seat rather than a vendor who read about your business in a pitch deck.
Where to start
The mechanical work should not be on your desk.
Thirty minutes, no deck. Tell us what your team does every month that a competent machine should be doing, and we will tell you whether we can take it.
Schedule a 30-minute call