Case Study: Credisense achieves instant loan approvals and scalable real-time credit decisioning with MongoDB

Transforming Credit Management with Credisense and MongoDB

Credisense is a cloud‑born, no‑code end‑to‑end credit origination and decisioning platform built to tackle the slow, manual and high‑risk nature of credit management that drives customer dropouts and raises regulatory and cost pressures. The company set out to streamline onboarding and risk assessment so lenders, utilities and fintechs can meet rising digital expectations and make faster, more compliant credit decisions.

Powered by MongoDB, Credisense couples a graphical, no‑code workflow builder with a real‑time decision and scoring engine that scales to handle hundreds of thousands of transactions per day and millions of applications. The platform enables instant approvals in production deployments (for example via CTOS in Malaysia), supports cloud and on‑premises models with Atlas/Enterprise security, and reduces operational overhead so customers can deliver faster, more secure lending experiences.

Credisense

Richard Brooks

Co-founder and Director