AI-Powered Automation for FinTech

We built an AI-driven automation platform for a FinTech leader that automated repetitive compliance checks, reduced manual reviews, and delivered near real-time compliance reporting.

Challenge

The client faced high operational costs due to manual reconciliation and rule-based compliance checks that couldn't scale with transaction volume.

Approach

Designed ML-powered anomaly detectors and automated reconciliation pipelines.
Implemented explainable models and human-in-the-loop workflows for edge cases.
Provided secure APIs to integrate automation into existing core systems.

Solution

Delivered a microservices-based platform with model inference endpoints, a rules engine fallback, and a dashboard for compliance officers to review flagged transactions and audit model decisions.

Results

40% reduction in manual processing time
Faster detection and remediation of suspicious activity
Improved auditability and regulatory reporting

Technologies

Python (scikit-learn, XGBoost), explainability tooling (SHAP), Kafka, Redis, Docker, and a React operational dashboard.

“Automation allowed our team to focus on complex reviews; Mavenpra's platform scaled immediately with transaction spikes.” — Head of Operations