Lobby AI highlights real-world use cases proving AI’s value in commercial real estate
Lobby AI, a leading finance-trained AI platform built specifically for CRE, announced a series of real-world use cases that demonstrate how CRE leaders are using AI to reduce costs, save time, and accelerate decision-making.
While AI adoption has accelerated across industries, much of the conversation has been broad and theoretical. Lobby AI is proving how AI is already reshaping CRE operations, delivering measurable value in areas such as refinancing preparation, capital stack optimization, and portfolio risk management.
“Generic AI is impressive, but it wasn’t designed for the financial complexity of commercial real estate,” said Rob Finlay, Founder & CEO of Defease With Ease | Thirty Capital, the firm behind the development of Lobby AI. “What makes Lobby AI different is that we can point to tangible results: operators saving 40+ hours of refinance prep, portfolio managers running instant stress tests, and executives walking into lender meetings with complete confidence. This isn’t the future; it’s happening now.”’
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AI in action means results that CRE leaders can trust. Those who adopt vertical AI today are outpacing their competition and making better decisions, faster, with less risk.”
— Rob Finlay, Founder & CEO of Defease With Ease | Thirty Capital
AI in Action: Real Use Cases in CRE
* Refinance Prep in Minutes: Operators are cutting reporting time from weeks to minutes by generating DSCR trends, loan historicals, and refinance scenarios instantly.
* Capital Stack Optimization: CFOs are modeling capital stack shifts, using a single query to replace costly preferred equity with senior debt, test hedging strategies, or adjust terms.
* Portfolio Risk Management: Portfolio managers are stress-testing portfolios against 50–100bps rate movements, delivering instant insights into DSCR and LTV exposure.
* Investor and Lender Communications: Executives are producing lender-ready summaries and investor reports on demand, improving transparency, accuracy, and trust.
Each example highlights how AI is transforming workflows that once required hours of manual effort into strategic insights available in seconds.
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