Client
A multinational bank requiring strict adherence to compliance regulations.
Challenge
Manual compliance checks were time-consuming, error-prone, and resulted in delays in launching new financial products.
Solution
- AIOps for Compliance Automation: Automated monitoring of transactions and processes to identify potential non-compliance risks.
- MLOps for Risk Prediction: Deployed machine learning models to detect anomalies and predict compliance breaches.
- Centralized Reporting: Created automated reporting workflows for regulatory audits.
Results
- Reduced compliance review times by 50%.
- Decreased regulatory fines by 80% through proactive monitoring.
- Increased operational efficiency, enabling faster product launches.
