Factors like limited data availability, legacy technology, highly manual operations, bias or discrimination, and potential frauds can trigger several problems into the loan underwriting to disbursement life cycle. Overall, these challenges can make entire credit-decisioning highly erroneous and less efficient directly impacting operational productivity and inhibiting growth.In contrast, AI-enabled models can source and analyze vast amounts of data from multiple sources, such as credit bureaus, bank statements, alternative channels and translate them into valuable insights for the lender. Such models can easliy predict a borrower’s creditworthiness, reduce the time & cost of origination-to-disbursal cycle, simplify your underwriting decisions, and accelerate your objective towards financial inclusion with a Digital Edge.