The 24-hour deal memo sounds like a stunt. It is not. It is the natural result of moving the work from after the deal arrives to before it does. Most firms still treat each deal as a fresh research expedition: pull rent rolls, hunt comps, rebuild a model, chase the seller's broker for data, reconcile spreadsheets. That takes weeks because the data is scattered, stale, and inconsistent. The firms that decide in a day have simply refused to pay that cost on the clock.

Why most underwriting is slow

The bottleneck is almost never analyst talent or model sophistication. It is data. Every hour an analyst spends cleaning a rent roll, normalizing inconsistent unit labels, or reconciling two sources that disagree is an hour not spent deciding. I call the cumulative drag of bad, disconnected, untrustworthy data the dirty data tax, and on a typical deal it consumes the majority of the timeline. Speed up the analyst and you barely move; pay down the data tax and the whole timeline collapses.

The pipeline behind the memo

In Dirt, Data and Decisions, I lay out underwriting as a pipeline you maintain continuously rather than rebuild per deal. Four layers make the 24-hour memo possible:

  • A clean data foundation. Rents, expenses, comps, tax, and market signals are ingested, normalized to a consistent schema, and kept current — so a property's context already exists before you ever see it.
  • Templated models. The underwriting logic lives in a standing model that ingests data automatically, not a blank spreadsheet rebuilt by hand each time.
  • AI-assisted analysis. Machine work handles extraction, comparable selection, sensitivity ranges, and first-pass flags, surfacing the questions a human should actually weigh.
  • A decision-ready memo format. A consistent 24-hour deal memo structure means the output is the same every time: the answer, the assumptions, the risks, and what would change the call.

With that pipeline in place, deal day is mostly judgment: validating the assumptions the system surfaced, pressure-testing the risks, and deciding. The grunt work that used to define the timeline is already done.

What 24 hours buys you

Speed is not vanity in real estate; it is an edge. The buyer who can credibly commit in a day wins deals that the three-week firm never sees, negotiates from strength, and avoids the deals that look good only because no one had time to find the problem. A fast, evidence-backed memo also makes you a better partner to lenders and investors, because the reasoning is legible and repeatable rather than a black box assembled under deadline pressure.

The caution: fast underwriting magnifies bad data. If your pipeline is dirty, you will now reach the wrong answer in 24 hours instead of three weeks. That is exactly why the foundation — clean, connected, continuously refreshed data — is the whole game.

The takeaway for operators

If you want to underwrite in a day, stop optimizing deal-day heroics and start investing in the standing pipeline. Pay down your dirty data tax, template your model, let AI do the extraction and first pass, and standardize the memo. Do that, and 24-hour underwriting stops being a stunt and becomes your default speed.