How AI is Transforming Multifamily Underwriting: Automating Rent Rolls and T12s

In the fast-paced world of commercial real estate (CRE), underwriting speed and accuracy can make or break a deal. Before analysts can meaningfully underwrite a multifamily acquisition, they face the labor-intensive process of extracting data from rent rolls and T12 (trailing 12-month) operating statements into Excel models.
Traditionally, this step consumes an average of 25 minutes per deal—time that could be better spent on financial analysis, stress testing assumptions, and evaluating investment risks. Now, thanks to automation, this manual chore is quickly becoming a thing of the past.
One of the most effective tools leading the charge is the QuickData.ai Excel Add-In, designed specifically for CRE professionals.
The Pain Point: Manual Data Transfer in Multifamily Underwriting
For every multifamily property, two core documents drive the underwriting process:
- Rent Roll – detailing unit mix, occupancy, current rent, lease terms, and concessions.
- T12 Statement – showing a 12-month record of income, expenses, and net operating income.
Before analysis can begin, underwriters manually key this information into Excel—line by line, column by column. The process is repetitive, error-prone, and adds no true value. When working on multiple properties, those 25 minutes per deal quickly compound into hours of administrative overhead.
The Solution: QuickData.ai Excel Add-In
Instead of starting every deal with data entry, analysts can now use the QuickData.ai Excel Add-In to automatically extract information from rent rolls and T12s, placing that data directly into their existing Excel underwriting models.
This doesn’t replace the underwriter’s judgment—it simply eliminates the manual copy-and-paste step, allowing accurate financial data to land exactly where it belongs within the model.
Key Advantages
- Time Savings: Reclaims 25 minutes of manual work per deal.
- Accuracy: Significantly reduces keystroke mistakes and formatting inconsistencies.
- Efficiency: Enables analysts to screen more deals in less time.
- Familiar Workflow: Works inside Excel, the tool CRE professionals already rely on daily.
Why Time Saved = Smarter Analysis
Underwriting multifamily real estate isn’t just about plugging in numbers—it’s about interpreting them. By removing the burden of data entry, underwriters can devote more energy to:
- Benchmarking operating expenses against market peers.
- Running sensitivity analyses on rent growth and cap rates.
- Identifying value-add strategies with stronger returns.
- Stress-testing downside scenarios.
In other words, the minutes saved on data entry flow directly into higher-value analysis—which is exactly where competitive advantage is won in commercial real estate.
The Bigger Picture: AI in Commercial Real Estate Underwriting
As AI adoption in commercial real estate accelerates, firms that harness automation will be better positioned to evaluate more opportunities, move faster, and achieve cleaner deal execution. QuickData.ai demonstrates how targeted automation—specifically in processing rent rolls and T12s—can have an outsized impact on underwriting workflows.
Final Thoughts
Manual data entry into Excel underwriting models is no longer a necessary part of the job. With the QuickData.ai Excel Add-In, multifamily professionals can eliminate 25 minutes of repetitive work on every deal and redirect their focus to where it matters most: smart analysis, better investment decisions, and faster transaction timelines.
In today’s CRE market, efficiency equals opportunity—and AI is unlocking both.