Case Study: Lumin Digital achieves in-house AI fraud detection and analytics with Provectus

Lumin Digital launches in-house AI fraud detection in 5 months with Provectus

Lumin Digital, a fintech digital banking platform, needed to build a modern analytics infrastructure and an in-house AI capability for fraud detection to replace expensive and opaque third-party services. Their banking clients required stronger reporting and a more transparent, controllable function that directly affected customer trust. They partnered with AI solutions provider Provectus to address this challenge.

Provectus built a cloud analytics platform and an ML engine on AWS, with Amazon SageMaker powering a real-time fraud detection model as the first use case. The solution was delivered from design to production in just five months, giving Lumin full ownership of its fraud detection and saving on external service costs. The implementation also provided self-service dashboards for improved data reporting and established a reusable AI foundation for future capabilities.

Lumin Digital