PT. Bank Sinarmas Tbk recognised at Indonesia Technology Excellence Awards 2025

The company introduced a PEGA-powered loan origination platform that reduced manual workloads by 74%, improved accuracy by 80%, and accelerated approvals for customers.

PT. Bank Sinarmas Tbk received an accolade in the Automation - Banking category at the Indonesia Technology Excellence Awards 2025 for its Mortgage Loan Origination System (LOS), a web-based platform designed to transform the mortgage approval process.

The system integrates application submission, credit scoring, underwriting, and approvals into one workflow, replacing manual processes that were prone to delays and errors.

PT. Bank Sinarmas Tbk’s LOS was built using PEGA, a workflow automation platform that helps organisations streamline complex operations. One of its standout features is the automated credit ratio scoring engine. The tool applies objective assessments based on indicators such as debt-to-income and utilisation rates. This raised scoring accuracy by 80%. The platform also introduced an Acceleration Flow for salaried applicants. With this, lower-risk borrowers can obtain faster approvals and experience shorter turnaround times.

Since implementation, the results have been significant. Applications increased by 174%, whilst loan disbursements rose by 291%. Revenue also grew by 76%, manual workloads dropped by 74%, and loan processing speed improved by 75% through streamlined workflows. Real-time SLA and Position Reports were also available throughout the process, which improved transparency.

PT. Bank Sinarmas Tbk has reported positive internal feedback. Credit officers noted higher productivity and fewer bottlenecks. Customers, meanwhile, experienced faster applications, real-time status updates, and fewer physical touchpoints.

The company has plans to expand the LOS further. Configurable eligibility rules will allow greater alignment with sector-specific risk strategies. A dynamic workflow engine will tailor approval paths based on product types and debtor profiles. More third-party integrations are expected to strengthen verification processes and reduce fraud. In addition, the use of machine learning and big data will help refine credit scoring models and support more personalised lending.

The Indonesia Technology Excellence Awards recognises groundbreaking technological projects and initiatives. It celebrates visionary leaders who are driving digital disruption, spearheading the tech revolution, and transforming industries through innovation.

The Indonesia Technology Excellence Awards is presented by Asian Business Review. To view the full list of past winners, click here. For more information, please contact Shela Ramos at +(65) 3158 1386 ext. 227 or [email protected].