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In this episode, Dylan Vaccaro demonstrates Deal Queue, his AI-powered underwriting platform that transforms the grueling 2-3 hour underwriting process into a streamlined 10-15 minute workflow. Through a live demonstration, Dylan shows how the tool parses rent rolls, T-12s, and offering memorandums from PDFs and Excel files, automatically populating custom financial models while flagging common seller manipulations like miscategorized expenses. Angel emphasizes that underwriting should be treated as a living business plan rather than just an LOI tool, while both discuss the critical importance of human verification—AI assists but never replaces the underwriter's judgment. The conversation covers conservative underwriting assumptions, the difference between T-1, T-3, and T-12 statements, and why calculating cap rates on total invested capital matters more than purchase price alone.
[00:00 - 05:00] Introduction to Deal Queue
How Deal Queue reduces underwriting from 2-3 hours to 10-15 minutes
The platform extracts data and populates custom Excel models automatically
Built-in models available for beginners learning multifamily underwriting
[05:01 - 10:00] Live Platform Demonstration Begins
Upload process for rent rolls, T-12s, and offering memorandums
How the system handles both PDF and Excel formats seamlessly
Pricing structure: $30/month for preset models, $175/month for custom integration
[10:01 - 16:00] The Data Parsing Challenge
Why manual data entry traditionally consumes hours of underwriting time
The importance of organizing deal files in a centralized pipeline
Angel's insight: underwriting is your business plan, not just an LOI tool
[16:01 - 20:00] Verification and Expense Analysis
How Deal Queue flags suspicious expense categorizations that inflate NOI
Live example: identifying CapEx items misclassified as below-the-line expenses
Why plumbing, utilities, and appliance repairs shouldn't be one-time expenses
[20:01 - 24:00] Conservative Underwriting Principles
Dylan's default assumptions: 5% vacancy and 2-3% annual growth rates
Understanding T-1 vs. T-3 vs. T-12 financial statements for lending
Why cap rates should be calculated on total invested capital, not just purchase price
[24:01 - 25:15] The Human Element in AI Underwriting
Angel's warning: always back-check AI outputs—no tool does everything
Regional expertise and market knowledge remain irreplaceable
How increased deal volume (6-7 daily vs. 1-2) improves acquisition probability
Connect with Dylan: https://www.linkedin.com/in/dylan-vaccaro-4450b9140/
Deal Queue Website: dealq.ai
Key Quotes:
"Your underwriting is your business plan. It's just not always looked at that way." - Angel Williams
Visit sponsorcloud.io/contact today and unlock $2,000 of free services exclusively for REI Rocks community members! Get automated syndication and investor relationship management tools to save time and money. Mention you're part of the REI Rocks community for exclusive offers. Help make affordable, low-cost education summits possible. Check out Sponsor Cloud today!
By Angel WilliamsIn this episode, Dylan Vaccaro demonstrates Deal Queue, his AI-powered underwriting platform that transforms the grueling 2-3 hour underwriting process into a streamlined 10-15 minute workflow. Through a live demonstration, Dylan shows how the tool parses rent rolls, T-12s, and offering memorandums from PDFs and Excel files, automatically populating custom financial models while flagging common seller manipulations like miscategorized expenses. Angel emphasizes that underwriting should be treated as a living business plan rather than just an LOI tool, while both discuss the critical importance of human verification—AI assists but never replaces the underwriter's judgment. The conversation covers conservative underwriting assumptions, the difference between T-1, T-3, and T-12 statements, and why calculating cap rates on total invested capital matters more than purchase price alone.
[00:00 - 05:00] Introduction to Deal Queue
How Deal Queue reduces underwriting from 2-3 hours to 10-15 minutes
The platform extracts data and populates custom Excel models automatically
Built-in models available for beginners learning multifamily underwriting
[05:01 - 10:00] Live Platform Demonstration Begins
Upload process for rent rolls, T-12s, and offering memorandums
How the system handles both PDF and Excel formats seamlessly
Pricing structure: $30/month for preset models, $175/month for custom integration
[10:01 - 16:00] The Data Parsing Challenge
Why manual data entry traditionally consumes hours of underwriting time
The importance of organizing deal files in a centralized pipeline
Angel's insight: underwriting is your business plan, not just an LOI tool
[16:01 - 20:00] Verification and Expense Analysis
How Deal Queue flags suspicious expense categorizations that inflate NOI
Live example: identifying CapEx items misclassified as below-the-line expenses
Why plumbing, utilities, and appliance repairs shouldn't be one-time expenses
[20:01 - 24:00] Conservative Underwriting Principles
Dylan's default assumptions: 5% vacancy and 2-3% annual growth rates
Understanding T-1 vs. T-3 vs. T-12 financial statements for lending
Why cap rates should be calculated on total invested capital, not just purchase price
[24:01 - 25:15] The Human Element in AI Underwriting
Angel's warning: always back-check AI outputs—no tool does everything
Regional expertise and market knowledge remain irreplaceable
How increased deal volume (6-7 daily vs. 1-2) improves acquisition probability
Connect with Dylan: https://www.linkedin.com/in/dylan-vaccaro-4450b9140/
Deal Queue Website: dealq.ai
Key Quotes:
"Your underwriting is your business plan. It's just not always looked at that way." - Angel Williams
Visit sponsorcloud.io/contact today and unlock $2,000 of free services exclusively for REI Rocks community members! Get automated syndication and investor relationship management tools to save time and money. Mention you're part of the REI Rocks community for exclusive offers. Help make affordable, low-cost education summits possible. Check out Sponsor Cloud today!