Arohan Annual Report FY 20-21

Quality Checks: In 2020, Arohan developed a platformto integrateandconnect LoanOrigination and LoanManagement Systems and automate the flow of information from the field to the Central Hub, thereby significantly reducing turnaround time for loan processing for disbursals. Arohan also implemented automated credit assessment (currently in beta-testing phase) and anti-money laundering checks on all customers. Artificial Intelligence and Machine Learning algorithms are also being implemented to check the genuineness of customer’s KYC documents. Customer Facial Recognition: Arohan’sCollection module, which forms a part of the MeraArohan suite of mobile applications, is used extensively for all loan repayments of the Company. During center meetings, where the repayments are collected from the customer, it is mandatory for the customer to be present and pay her/his installment. The collection application uses an in-built facial recognition capability to mark the customer ‘present’ through a group photograph taken at the center. This has removed any dependency on maintaining a manual attendance register at the center while also ensures accuracy in customer’s attendance. This is one such example of the many machine learning functions that Arohan uses in its mobile apps to ensure accuracy and speed in field operations. The challenges of the macro-environment has opened a new world of opportunities for those who are adequately future-ready. With its sharp and consistent focus on leveraging technology to scale operational efficiencies, Arohan will continue to further digitalise and automate a number of its back-office functions. TheCompany also intends to tie-upwith thirdparty vendors for executing digital loan documents and e-signing thereof, to further help in streamlining the loan document execution process. Annual Report | 2020-2021 64