This research presents an advanced, AI-driven framework for automating the Know Your Customer (KYC) process, tailored to enhance the accuracy, efficiency, and security of identity verification across financial and governmental institutions in India. The proposed architecture supports both online and offline verification workflows, integrating facial recognition technologies [4], secure API-based document validation [8][9], AI-powered Optical Character Recognition (OCR) [2], and multi-factor authentication mechanisms [3]. By replacing traditional manual procedures and reducing vulnerabilities to identity fraud [1], the system ensures operational efficiency, robust security, and regulatory compliance. The modular design incorporates machine learning models for risk assessment and document authenticity, offering scalability and adaptability to evolving digital identity ecosystems. This study positions the solution within the broader context of India’s regulatory landscape, aligning with frameworks such as the Information Technology Act and guidelines issued by the Reserve Bank of India (RBI).