Residential Magazine

The slow and cumbersome lending process gets a makeover

Artificial intelligence can tap into data to add certainty in an uncertain time

By Arvind Mohan

Real estate investing has long been a game of gut instinct and experience. In 2025 when data informs everything from stock trades to supply chains, why are so many brokers still bogged down by outdated systems, manual underwriting, and fragmented workflows that slow down deals?

The future isn’t about spreadsheets. It’s about applying artificial intelligence and data to make deals smarter, faster and more certain. Private lenders to real estate investors have been at the forefront of pioneering AI-driven lending innovations that don’t just optimize the financing process — but redefine it entirely. 

As technology speeds forward, the mortgage industry must evolve along with it. Today, the business is moving even faster — pushing the boundaries of AI and automation to streamline every step of the lending process, from deal analysis to borrower qualification to closing. 

For brokers, this means a massive shift in how deals get done. The days of chasing down valuations, waiting for manual approvals and struggling with uncertainty are fading. The future belongs to those who leverage real-time insights, minimize inefficiencies and move deals forward with speed and certainty.

Instant terms

For years, brokers have had to navigate a slow and cumbersome lending process — pricing out deals, submitting applications, waiting on approvals. But technology is changing that process, shifting much of the heavy lifting to the top of the funnel so that brokers and investors can get real-time feedback on their deals before they ever hit the underwriting stage.

Instead of waiting, brokers can now get instant deal terms, plugging in property details and renovation plans to immediately see cash-to-close estimates and projected valuations. There is no more guesswork, no more wasting time on deals that won’t pencil out. 

It’s not just about speed; it’s about strategy. Brokers can vet deals in real time, giving clients more confidence in their investment decisions — all while cutting out the inefficiencies that slow down or kill deals.

Reliable insights

Data-driven insights are the new competitive edge in real estate investing, and AI is changing the game. For example, AI can tap into databases of past flips, market trends and property insights to help assess a property’s after-repair value and potential profitability. This gives brokers and their clients a clearer picture of a project’s potential — before they commit.

But data-driven tools are only as good as the data you feed into them. Machine-learning models can process billions of data points from tens of thousands of loans to project actionable post-renovation property valuations. This enables brokers to confidently present their clients with strong deals, backed by reliable, AI-driven insights.

Fewer bottlenecks

Speed and certainty are everything in real estate investment financing. AI-driven underwriting and automated borrower qualification eliminate long delays, getting deals across the finish line faster. For brokers, that means instant response times: Eliminate long delays so there is no waiting and no wondering.

That also means more certainty with less variability between initial deal terms and final closing terms. And brokers can handle more clients without increasing operational headaches: more deals, fewer bottlenecks and a smoother workflows.

Human-centric approach

There’s always a debate about AI replacing human expertise — but when it comes to brokering loans for real estate investors, that’s not the goal. AI enhances what brokers do best, so it’s important that lenders take a human-centric approach by automating where it makes sense while leaving crucial decision-making in the hands of experienced professionals.

The next evolution of real estate investing isn’t just about doing things faster — it’s about doing them smarter.

Fraud detection is a prime example. While AI can scan documents, flag inconsistencies and identify potential risks, it’s brokers and underwriters who make the final calls. The key isn’t removing people from the process; it’s making their jobs easier and more efficient. This combination of AI-driven efficiency and broker expertise is what makes modern lending both scalable and secure.

Smarter innovations

The next evolution of real estate investing isn’t just about doing things faster — it’s about doing them smarter. Some of the innovations being seen in the industry include:

  • AI-assisted property sourcing that gives investors the ability to automatically scan and filter the best opportunities based on pre-set criteria.
  • Real-time AI-driven valuations that reduce or even eliminate the need for traditional appraisals.
  • AI-powered advisers that act as smart assistants to guide brokers and investors through every step of the process.

New norm

The real estate market is unpredictable, but brokers don’t have to be caught off guard. With interest rates fluctuating, labor costs rising and supply chain disruptions still in play, certainty is more valuable than ever. By leveraging AI-powered tools, brokers can help their clients make smarter, faster investment decisions using real-time data — even in uncertain times.

AI and automation aren’t just buzzwords — they’re the new norm. The brokers who embrace these tools now won’t just keep pace; they’ll lead the industry forward. Forward thinking private lenders aren’t just adapting to this future — they’re building it.

Author

  • Arvind Mohan is CEO and a board member at Kiavi, one of the nation’s largest private lenders for residential real estate investors. He has more than 15 years of experience in residential real estate and investment banking. Previously, Mohan was a director in the fixed-income division at Barclays. Mohan recently purchased his first investment property (a small fixer-upper) and learned firsthand the difficulties faced by real estate investors.

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