India's micro enterprises sector, comprising 98% of micro, small, and medium enterprises (MSMEs), faces a staggering credit gap of ₹30 lakh crore (approximately $3.6 trillion USD). Women-led businesses are particularly affected, receiving 35.5% less credit relative to deposits compared to their male counterparts. Despite evidence that women entrepreneurs are more reliable borrowers, over 85% encounter significant barriers in accessing loans from public sector banks. The current credit system, which relies heavily on collateral and formal documentation, leaves many microenterprises without access to formal financing, forcing them to turn to informal lenders that charge exorbitant interest rates. To address this issue, the use of behavioral data—such as digital transaction patterns and payment histories—could revolutionize credit assessments. This approach has shown promise in other regions, with platforms in Southeast Asia reporting default rate reductions of 7-32%. India's strong digital infrastructure and microfinance legacy position it well to adopt such innovations, potentially unlocking opportunities for millions of microentrepreneurs. However, regulatory frameworks must evolve to recognize behavioral data as a legitimate measure for creditworthiness, particularly for loans below ₹50,000, where traditional assessments are impractical.