How AI is Revolutionizing Credit Underwriting and Inclusion
Your credit score may not matter soon. Hereβs what AI looks at instead
Mint
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Artificial intelligence is transforming credit underwriting by shifting from traditional rule-based evaluations to behaviour-based assessments. This new approach allows lenders to consider alternative data and real-time financial behaviours, potentially including more borrowers who were previously underserved, particularly in India.
- 01AI is changing credit underwriting from fixed rules to behaviour-based assessments.
- 02Alternative data, such as utility payments and digital transactions, is being integrated into the credit evaluation process.
- 03The Reserve Bank of India's FREE-AI Report outlines a roadmap for responsible AI adoption in credit underwriting.
- 04Monitoring AI models is crucial to prevent bias and ensure ethical outcomes.
- 05The future of underwriting will involve continuous credit assessment throughout the loan lifecycle.
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Artificial intelligence is reshaping the credit underwriting landscape by moving from traditional rule-based evaluations to behaviour-based assessments. This shift enables lenders to analyze patterns in bank transactions and spending habits, allowing them to identify stable borrowers even without a long credit history. The integration of alternative data, such as utility payments and digital transactions, is crucial for including underserved populations, particularly in India, where many individuals work in the informal sector. The Reserve Bank of India's 'Framework for Responsible and Ethical Enablement of Artificial Intelligence' (FREE-AI Report), released on August 13, 2025, emphasizes the need for responsible innovation in AI adoption. It highlights that approximately 20.8% of surveyed banks and non-banking financial companies (NBFCs) are using or developing AI systems, with 13.7% focusing on credit underwriting. However, challenges like high implementation costs and legal uncertainties remain. The report also advocates for principles of responsible AI, including transparency, accountability, and fairness, to ensure ethical outcomes. As AI continues to evolve, credit assessment will become more dynamic, enabling lenders to adjust limits and support based on real-time financial behaviour.
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The shift towards AI in credit underwriting could lead to increased access to loans for individuals in the informal sector, improving financial inclusion.
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