A leading global bank engaged in corporate lending, capital markets, and trade finance. Operating under stringent regulatory frameworks, the client manages massive document flows that demand precision, speed, and compliance.

When two global financial giants’ partner, onboarding isn’t just paperwork—it’s a compliance-heavy, high-volume process involving thousands of legal, KYC, and trade documents. Our client, a top-tier international bank, needed to eliminate bottlenecks, reduce manual errors, and ensure audit-grade traceability while onboarding counterparties at scale.

• High Volume & Variety: Incoming contracts, NDAs, trade forms and KYC documents in PDF, DOCX, TIFF and other formats.
• Strict Compliance: Every document must meet regulatory standards, be fully traceable, and maintain an immutable audit trail.
• Data Integrity: Extracted fields (e.g., counterparty IDs, trade terms) had to reconcile against master data before downstream systems ingestion.
• Scalability & Reliability: The solution had to elastically handle peaks in document submissions without performance degradation.
• Minimizing Manual Effort: Reduce time consuming back and forth among operations teams, legal, and IT when discrepancies emerged.

We built an AI-first onboarding pipeline using our proprietary Model Context Protocol (MCP) — a framework that enables intelligent agents to communicate, collaborate, and act autonomously while maintaining full context across the document lifecycle.

Instead of building a traditional linear pipeline, we deployed a network of task-specific agents — each one responsible for a step like document normalization, validation, classification, or compliance enforcement. Powered by MCP, these agents maintain shared context, allowing them to resolve ambiguities, handle exceptions gracefully, and enforce policies dynamically.

Key Capabilities:

• Context-Aware Agents: Each agent understands its role and state in the end-to-end flow
• Multi-Format Support: Automatically handles PDFs, DOCX, TIFF, and others
• Field-Level Intelligence: Extracts and reconciles key fields like counterparty IDs and trade terms
• Discrepancy Management: Proactively flags and handles data mismatches with minimal human input
• Elastic Orchestration: Runs on Kubernetes (AWS EKS) with auto-scaling to meet demand

• Onboarding Time Reduced by 90%
• Data Accuracy Improved to 97.9%
• Full Regulatory Traceability via audit-grade logs of agent actions
• Future-Proof Architecture: Easily extendable to support LLMs and additional workflows