India is home to over 1.4 billion people, with a vast and diverse population that includes urban, rural, and remote communities. Traditional identity verification methods, such as physical documents and in-person verification, are time-consuming, costly, and prone to errors. Moreover, the lack of proper identification documents has historically excluded millions of Indians, particularly in rural areas, from accessing formal banking services. The rapid growth of digital banking in India has further highlighted the need for robust and scalable identity verification solutions. With the increasing adoption of mobile banking, digital wallets, and online transactions, banks require efficient and secure methods to verify customer identities in real-time. In recent years, Artificial Intelligence (AI) has emerged as a transformative force in the Indian banking sector, particularly in the realm of social lending. Social lending, which focuses on providing financial services to underserved and marginalized communities, has gained significant traction in India. However, the lack of proper identification and credit history among these populations has traditionally been a major barrier. AI-based identity verification systems are now addressing this challenge, enabling banks and financial institutions to extend credit to those who were previously excluded. This article explores how AI-powered identity verification is revolutionizing social lending in Indian banking, its impact on financial inclusion, and the future of this technology.