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Real Estate Business Review | Wednesday, January 29, 2025
The use of AI in the underwriting process can help reduce operational errors and lower costs, enhancing overall efficiency.
FREMONT, CA: Underwriting plays a critical role in the investment decision-making process, particularly in the finance sector. It helps assess risks and project potential returns across various types of investments. In real estate, underwriting typically starts by evaluating a property's gross potential income, then adjusting for factors like vacancy rates and operating expenses to calculate the Net Operating Income (NOI). This NOI, when used alongside the capitalization rate (cap rate), helps determine the property's overall value.
Regrettably, the commercial real estate underwriting process can be monotonous, causing significant time spent evaluating paperwork and moving data from one place to another. Manual underwriting also incorporates errors and unwarranted costs. Artificial intelligence (AI) is a good technology to manage this challenge.
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AI can help automate the new underwriting procedure. Automated underwriting with AI allows quick document scanning in distinct formats and removes the essential details for underwriting. Therefore, AI-enabled underwriting takes a few minutes instead of hours or days, offering an advantage over customary underwriting procedures.
Moreover, machine learning (ML) takes underwriting automation a step ahead by making associated analyses of unrelated assets and predicting to estimate a borrower's creditworthiness fast. The above capability gives lenders an error-free, fast, and secure means to underwrite a loan with minimum risk.
Incorporating AI in commercial real estate underwriting makes lenders more effective and productive. Automated underwriting can decrease the costs and human resources needed to take a loan. Another important benefit of AI algorithms is that they eliminate the 'human bias' from decision-making.
For example, a lender may be biased toward a specific borrower. Nevertheless, incorporating AI algorithms eradicates any such preference, and the loans can be strictly according to parameters and data. ML algorithms also gather huge data sets across each asset class and utilize the knowledge towards every new loan opportunity.
AI technology promises to convert the world of commercial real estate underwriting processes.
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