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CONFIDENTIAL — ACQUISITION REVIEW
That's our core purpose — not a tagline, a promise. Landmark Real Estate Management, Bellingham, Washington: ~4,000 doors, ~10,000 residents, 60+ team members. Spokane opens in 2026, Boise and Vancouver follow — on the way to 20,000 units across six markets by 2035.
We do what we say we'll do. Every time.
We don't wait for an answer. We go find one.
We lean in where others see disruption.
Owners, residents, teammates — help first.
Even when it's hard. Even when no one's watching.
The first is a property management operation you can value on cash flow. The second is the technology layer running underneath it — an agentic back office, built on the live book, that does the repetitive operational work. The second one is why this conversation is different.
Operators that own this capability now set the cost structure the rest of the market has to chase. Landmark already owns it.
The incumbents — AppFolio, Buildium, Yardi — were architected pre-AI and bolt agents on, gated to premium tiers. The AI-native challengers — EliseAI, Funnel — do leasing chat and CRM, and none of them touch money. An AI that codes a bill is a weekend hack. An AI that cannot double-pay, cannot skip a deposit rule, and logs every decision to a seven-year standard is a year of architecture. We did that year.
March 2026: a two-day, on-site operational audit of Landmark's own shop — twelve staff interviews from the front desk to the CFO, every system in the stack reviewed, every workflow walked end to end. Not a vendor's pitch deck — a hard look at our own operation.
We didn't buy a system and bend our process around it. We built the system around the way Landmark already manages a door — seven steps, digital employees working every one.
Vacancies, showings, walk-in queue.
AI receptionist, screening, Apps AI.
Leasing, deposits, inspections.
Financials, bills/AP, reconciliation.
AI dispatcher, follow-ups, work orders.
Owners, reports, scorecards.
Renewals, move-ins and move-outs.
Built end-to-end on Landmark — a working property-management operation and Troy's own portfolio. The platform is real, the data is real, the agents run against it. In two minutes you'll watch it work.
Pull an actual invoice from the live system. The agent reads it, codes the GL, proposes the action — on real data, not a sandbox.
We trigger an unsafe action on purpose. Watch the deterministic gate block the commit and route it to a human. This is the moment that matters.
Open the transcript. Who, what, why, when — every decision logged, replayable, to the standard your diligence team will ask about.
Every money-moving or irreversible action passes through a deterministic gate before it commits — code your engineers and counsel can read, that no model, however confident, can argue its way around.
A normalized adapter layer means the agents don't care what the underlying PM system is. Acquire a book on AppFolio, Buildium, or Yardi — the same agent layer drops on top without rebuilding anything.
The back office absorbs doors without adding headcount. Cost per door falls as the portfolio grows — the inverse of every traditional PM cost curve.
The adapter architecture drops the same agent layer onto any acquired book, whatever PMS it runs. Buy doors, plug them in, take out the back-office cost — repeatably.
The market prices AI-native PM tech on venture multiples — EliseAI at $2.2B, Entrata at $4.3B, AppFolio near $6B — and none of them hold the money-safe back office. The platform licenses beyond Landmark.
A working diligence session: the live system, the audit trail, the cost-per-door data, and the architecture walkthrough with the team that built it.