Digital Credit Model Speeds Up MSME Loan Approvals
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- 2 Min Read
- By Taxmann
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- Last Updated on 30 July, 2025
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The Union Budget 2024–25 introduced a transformative initiative for India’s Micro, Small, and Medium Enterprises (MSMEs): the Digital Credit Assessment Model. This new model was designed to modernize and streamline the credit assessment process by encouraging Public Sector Banks (PSBs) to develop and deploy in-house digital capabilities for evaluating MSME loan applications. The move marked a significant shift away from the traditional dependence on external credit assessment agencies, aiming to make the process more efficient, transparent, and accessible for small businesses.
A key objective of this model is to minimize paperwork, reduce turnaround time (TAT), and eliminate the need for repeated visits to bank branches. By integrating digital data sources and leveraging analytics, PSBs can now assess the creditworthiness of both Existing and New to Bank (NTB) MSMEs in a more seamless and automated manner. This user-friendly approach not only improves borrower experience but also enables faster decision-making by banks, which is crucial for the working capital needs of MSMEs.
The implementation of this digital model has shown promising early results. Between April and mid-July 2025, public sector banks collectively sanctioned over 98,000 MSME loans using the new system. This rapid uptake demonstrates the model’s potential to significantly scale MSME financing and bridge the credit gap that often hampers the growth and sustainability of small businesses in India. It also reflects the banks’ growing readiness to adopt technology-led innovations in credit delivery.
With this digital shift, the government aims to foster greater financial inclusion and institutional credit access for the MSME sector, which is a vital contributor to employment and GDP. As PSBs continue to refine and scale their digital credit assessment platforms, the model is expected to set a new benchmark for MSME lending across the financial ecosystem. Further developments and integration with fintech solutions could enhance the model’s reach, offering faster, data-driven credit to millions of MSMEs nationwide.
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