Slice, a leading fintech company in India, aimed to provide fast, simple, and flexible credit approval for its 12 million registered users. The traditional manual process was time-consuming and prone to errors, causing inconvenience to users. To address this challenge, Slice adopted MongoDB Atlas, leveraging its flexible schema, speed of development, dynamic scaling capabilities, and real-time analytics. By utilizing Change Streams and ML models, Slice reduced the credit underwriting process from 24-48 hours to under a minute, achieving unprecedented processing speeds and a 99.995% uptime SLA for its users.