BGL BNP Paribas
Transforming fraud detection and data analytics from a 3-day process to real-time intelligence across millions of daily transactions.
The Challenge
BGL BNP Paribas faced critical operational bottlenecks in their fraud detection and data analytics operations.
Complex database queries took 3 business days, real-time fraud detection was impossible, and siloed data prevented a unified view of customer information across departments.
- Complex database queries required 3 business days to complete
- Real-time fraud detection was impossible due to processing delays
- Siloed data prevented 360-degree customer visibility
- Staff spent excessive hours on repetitive data retrieval
- Delayed decision-making increased fraud exposure
The Journey
How NatusAI OS transformed operations
Natus Analyzer
How we analyzed
Diagnosed data bottlenecks across the entire banking operation — from transaction processing to fraud detection to compliance reporting.
Mapped data flows between departments to identify silos and integration opportunities.
What we discovered
- 3-day query turnaround was the root cause of delayed fraud detection and business decisions
- Disconnected departmental systems prevented a unified customer view
- Manual document analysis consumed vast staff hours that could be automated
- Processing delays exposed the bank to significant financial risk
Natus Transformer
How we transformed
Designed high-performance graph database architecture optimized for complex relationship queries.
Trained ML models for pattern recognition and anomaly detection across transaction data.
Built real-time processing pipeline capable of handling millions of daily transactions with a unified data layer connecting all departments.
The transformation
- Graph database architecture reduced query times by orders of magnitude
- Multi-agent AI system enabled autonomous document analysis at massive scale
- Unified data layer eliminated departmental silos completely
Natus Builder
What we built
Deployed real-time fraud detection engine with live transaction monitoring, instant alerts, and automated risk scoring.
Built intelligent document analysis platform capable of processing millions of documents in seconds with natural language query interface.
Created 360-degree customer data integration with cross-departmental access and collaboration tools.
Delivered comprehensive training sessions and technical documentation for banking staff.
What they received
- Sub-second query response for complex data relationships replaced 3-day waits
- System handles peak loads of millions of transactions daily without performance degradation
- AI agents process millions of documents monthly with 98% accuracy
The Impact
Measurable results that matter
99.998%
Faster query processing
85%
Improved fraud detection
70%
Productivity increase
80%
Faster compliance reporting
42%
Higher customer satisfaction