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Just 25 years ago, credit executives were primarily concerned with financial risks — except of course for the Y2K bug that briefly stole the spotlight. Delinquency risk and the risk of default were the primary focus. Do you need help assessing customer creditrisks? Is their data secure?
From marketing automation to cybersecurity to customer support, businesses are applying automation in a variety of creative ways. Credit check and risk analyses, which offer a concrete way to determine which clients are most at risk of defaulting on payment terms. Accounts receivable is no exception.
The use of data analytics and AI-powered algorithms enables banks to assess creditrisk more accurately, resulting in better credit decisions and reduced default rates. Automation of routine tasks expedites loan approvals and disbursements, reducing the turnaround time for borrowers and enhancing overall efficiency.
But change always comes with risk, and the evolution of lending brings a set of emerging risks that financial institutions must take proactive steps to address in order to maintain the stability and integrity of their digital lending ecosystems.
Many financial institutions have been using artificial intelligence (AI) for years, particularly in supporting cybersecurity and anti-fraud efforts. Abrigo Small Business Lending Intelligence powered by Charm provides loan rating risk scores, the probability of default, and how the score was calculated.
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