Overview
A mid-size banking institution was spending the majority of its compliance team’s time on manual regulatory checks across multiple frameworks — Basel III capital adequacy, AML/BSA transaction monitoring, KYC verification, GDPR data protection, and SOX financial reporting. Each framework had its own workflows, documents, and reporting requirements, creating significant operational overhead and risk of human error.
We designed and built a unified AI compliance platform that automates monitoring, risk assessment, document analysis, and regulatory reporting across all six frameworks in a single dashboard. The system combines multi-agent orchestration, specialized ML models for anomaly detection and risk scoring, and a RAG-powered knowledge system for real-time compliance intelligence.
Core Capabilities
Transaction Anomaly Detection
Real-time monitoring of transaction streams using an ensemble of Isolation Forest, One-Class SVM, and gradient boosting models. The system flags suspicious activity with sub-second inference, generates Suspicious Activity Reports, and maintains a complete audit trail.
- 95%+ precision in anomaly detection across transaction types
- 10M+ transactions per day processing capacity
- Multi-factor risk scoring with 50+ compliance indicators
- Automated SAR generation for AML/BSA compliance
Risk Assessment & Stress Testing
Ensemble ML methods (Random Forest, Gradient Boosting, XGBoost) combined with LSTM deep learning and ARIMA statistical models for comprehensive risk scoring and Basel III stress testing with 12-month forecasting across six scenarios.
- 92%+ validation accuracy on risk assessment models
- Basel III capital adequacy and stress testing automation
- Six-scenario analysis: baseline through severely adverse
- KYC/CDD risk rating with identity verification workflows
Document Intelligence & RAG Knowledge System
Multi-format document processing (PDF, DOCX, CSV, XLSX) with NLP pipelines powered by BERT and SpaCy for entity recognition and semantic analysis. A RAG-powered knowledge system backed by vector search enables instant compliance lookups with source attribution.
- 1,200+ pages per minute document processing throughput
- 98%+ factual correctness in RAG-generated answers
- Sub-200ms vector search with Pinecone
- Framework-specific filtering across all regulatory domains
Automated Reporting & Voice Interface
Enterprise reporting with executive summaries, technical reports, and audit-ready formats — generated automatically and delivered via scheduled email. A voice-enabled interface allows hands-free compliance queries and report dictation with WCAG 2.1 AA accessibility compliance.
- Multi-format report export with embedded charts
- Automated scheduling and multi-recipient email delivery
- 95%+ voice command recognition accuracy
- Complete audit trail with transaction-level logging
Architecture & Infrastructure
The platform uses a five-layer architecture — from the interactive dashboard through multi-agent orchestration, an intelligence layer with specialized ML models, data integration pipelines, and production-grade infrastructure with Docker and Kubernetes deployment.
AI & ML
LangGraph multi-agent orchestration, Isolation Forest, XGBoost, LSTM, BERT, SpaCy NER
Knowledge & Search
RAG with Pinecone vector store, SentenceTransformers embeddings, compliance-specific retrieval
Observability
LangSmith tracing, persistent checkpointing, comprehensive error recovery, audit logging
Infrastructure
Docker & Kubernetes deployment, multi-tenant SaaS ready, auto-scaling vector database
Regulatory Coverage
Basel III
Capital adequacy, stress testing, capital ratios
AML / BSA
Anti-money laundering, suspicious activity reports
KYC / CDD
Identity verification, customer risk rating
GDPR
Data protection, privacy impact assessment
SOX
Financial reporting, control testing
MiFID II
Investment services, transaction reporting
Performance
ML Inference
80ms latency
RAG Query Response
1.2 seconds
Document Processing
1,200+ pages/min
Transaction Throughput
10M+ per day
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