The client faced mounting pressure to modernize its trading and back-office operations. Legacy infrastructure hindered real-time trade transparency, anomaly detection, and document-driven workflows — all while regulatory complexity and data sprawl continued to grow.
Solution
Seawolf AI architected Project NEXARA, an integrated AI stack built to transform how financial operations run — from the trade floor to compliance.
Key components included:
🧠 Real-Time Trade Monitoring & Anomaly Detection
Developed and deployed agentic analytics pipelines capable of flagging high-risk patterns within seconds
Integrated anomaly response playbooks for early alerting and auto-resolution of trade discrepancies
⚡ System Acceleration for High-Speed Trading
Rebuilt trade status infrastructure using distributed processing and edge caching — achieving sub-second execution on critical trade events
📄 AI Document Intelligence
Built an LLM-native document interface for policy memos, trade reports, and audit trails
Implemented “Bring Your Own LLM” orchestration with:
Hot-swappable model routing
Cost-based model selection
Agent-based workflow assignment per document type
📊 Master Data & Governance
Created a unified MDM + governance layer using machine learning–driven entity resolution and LLM-based data classification
Reduced compliance overhead through automated lineage tracking and audit tagging
Results
✅ 95% increase in trade transparency and real-time visibility ✅ 82% reduction in manual trade reconciliation effort ✅ <2 second system response time across trade status APIs ✅ $2.1M projected annual savings from LLM-based document processing and governance automation
What Made It Different
NEXARA wasn’t just a modernization effort. It was a blueprint for autonomous, explainable, and adaptive infrastructure in one of the most complex domains on Earth.
“Seawolf didn’t just plug in AI — they rebuilt our core systems to think, respond, and learn like our best teams do.” — Director of Technology, Client (Capital Markets)
