Automated Loan Processing and Payment Reconciliation Through Integrated Banking Workflows
DOI:
https://doi.org/10.15662/IJEETR.2023.0505016Keywords:
Automated Loan Processing, Payment Reconciliation, Integrated Banking Workflows, Banking Automation, Credit Risk Assessment, Financial Transaction Management, Digital BankingAbstract
Modern banking systems should include automated processing and calculating of loans along with the payment reconciliation so that financial institutions could enhance the efficiency of their operations, accuracy and customer satisfaction. The traditional banking processes usually require physically verifying documents, loan qualifications, transaction tracking and matching payments, creating delays in the processing, human errors and higher costs of operations. In this research paper, an interconnected digital system of integrating bank workflow via a loan processing and payment system is examined as a research paper on the automation of both processes. The proposed solution is a combination of automated data gathering, rule-based eligibility evaluation, document validation, credit risk evaluation, loan approval processes, and real-time payment verification. More so, smart reconciliation systems will match financial transactions against associated loan accounts, find anomalies, and duplicate payments, and create exception reports to pursue investigations. The process of integration with main banking systems, payment gateways and financial databases enables smooth passage of the information and enhances transparency of the transaction. The framework will minimize manual intervention, speed-up the process of loan disbursement, increase the accuracy of reconciliation, and increase regulatory compliance. Processing time, accuracy of reconciliation, error rate, operational cost and efficiency in exception resolving can be used as performance evaluation. The paper sheds light on the need to standardize workflow, provide data security, and audits, alongside scalable system structure in deploying trusted automation in banking. The suggested framework is a basis toward setting up effective, open, and safe banking practices in more digital financial landscapes.
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