In the context of ensuring compliance with Customer Due Diligence (CDD) and Anti Money Laundering (AML) directives, organizations are increasingly turning to automation to streamline Know Your Customer (KYC) processes. This involves using deep learning and computer vision technologies to automate the verification of customer identities, which traditionally require manual checks of documents like passports and utility bills. While the current manual processes are time-consuming and prone to errors, automated systems promise increased efficiency and accuracy. However, adopting such technologies introduces regulatory challenges, including ensuring financial inclusion for those lacking documentation and maintaining data privacy in line with regulations like GDPR. The Nanonets API is highlighted as a solution for automating these processes, offering a web-based interface for building and deploying machine learning models without coding. The API facilitates tasks such as image quality checks, document verification, fraud detection, and data digitization, ultimately aiming to enhance customer onboarding experiences and reduce operational costs.