The Challenge

Asset managers (AMs) and third-party administrators (TPAs) required a robust SaaS solution to facilitate fund order messaging across multiple financial networks such as Swift, DTCC, and Calastone.

The existing process was complex, requiring users to interact with different systems, understand various financial messaging formats, and ensure compliance with industry standards.

Additionally, high availability and throughput were critical due to the time-sensitive nature of financial transactions.

Traditionally, developing such a platform would take several weeks of manual research, architecture planning, and integration. The challenge was to deliver a high-performance, compliant, and scalable solution in just one week.

• AI-driven Document Processing: Extracted key data points with minimal human intervention.
• Machine Learning-based Classification: AI categorized loan notices based on metadata and content.

The Project 

To accelerate development, Agentic AI was used to conduct real-time research on financial message sets, fund order lifecycles, and compliance requirements.

This automated the extraction of key regulatory guidelines and messaging structures, significantly reducing manual research efforts.

Generative AI was employed to develop a blueprint for the system architecture, optimizing microservices and event-driven messaging frameworks.

The AI-driven design ensured the system was secure, scalable, and interoperable with different financial networks while maintaining flexibility for future enhancements.

Project Delivery

1.Microservices Architecture Implementation:

• AI-generated microservices modular development.
• Event-driven model ensured seamless message processing with minimal latency.

2.Integration with Financial Networks:

• AI-optimized APIs streamlined connectivity with Swift, DTCC, and Calastone
• Automated validation rules.

3.Security and Compliance Automation:

• AI-powered compliance monitoring automated the verification of transactions.
• AI-assisted security audits identified vulnerabilities.

4.Deployment and Monitoring:

• AI-driven CI/CD pipelines accelerated deployment and testing, significantly reducing time-to-market.
• AI-enabled monitoring systems detected anomalies and optimized performance in real time.

Benefits

• Time Savings: AI reduced research and development time by 75%, allowing rapid deployment.
• Operational Efficiency: The microservices architecture improved scalability and reduced transaction errors.
• Cost Reduction: Automated compliance and monitoring lowered operational expenses.
• Security and Compliance: AI-driven fraud detection and encryption ensured regulatory compliance.
• Scalability: The cloud-based system could easily handle growing transaction volumes.

The Nova Fund Order Processing Gateway set a new benchmark for AI-driven financial software development, providing a faster, more reliable, and cost-effective solution for fund order processing.

Return to Accelerated Transformation Case Studies