Transform Bordereaux Management with AI-Ready Data
Reduce manual processing time by up to 94% and enable scalable governance across risk, premium, and claims data.
The Problem: Bordereaux Processing Eats Your Time
Every month, your team probably spends 40+ hours:
- Reformatting files from different coverholders
- Fixing data errors manually
- Chasing missing information
- Creating reports from messy data
“Complex files that previously took hours can now be resolved within minutes.”
– Michelle Bree, COO, Pen Underwriting [Read the full case study → here]
How it works:
Upload
Drag and drop your bordereaux files
Map
AI suggests how to match fields (only do this once per coverholder)
Validate
System finds and fixes errors automatically
Export
Clean data goes straight to your warehouse
What Our Clients Achieve:
- 94% faster processing
- Zero manual reformatting
- Complete audit trails
- Ready for AI and reporting
Try It With Your Real Files – 3 Week Trial
✅ €15,000 (fully redeemable if you continue)
✅ We set everything up for you
✅ Use your actual bordereaux files
✅ See measurable results in week 1
✅ No long-term commitment
Limited spots available – most clients see 85%+ time savings
Standardize Data
Standardizes bordereaux files from multiple cover holders
Quality Control
Flags and fixes data quality issues before they hit your team
Automated Mapping
Automates mapping to Lloyd's data standards
Eliminate Manual Work
Eliminates offshore data prep or rework
Compliance Ready
Produces audit-ready outputs for internal systems
Self-Service Portal
Enables optional cover holder uploads with self-serve validation
Data Integration
Connects to SQL/Snowflake for real-time downstream use
Performance Insights
Delivers insights on error trends to improve cover holder performance
Step 1: Define Data Structures
Step 1: Define Data Structures
Preconfigured datasets for each bordereaux type (risk, premium, claims). align with Lloyd’s or custom schema.
Step 2: Upload & Map files
Step 2: Upload & Map files
Drag-and-drop interface for ops teams or cover holders. One-time mapping reused monthly.
Step 3: Validate & Transform
Step 3: Validate & Transform
Business rules applied in real time. Row-level validation using Excel-style logic or natural language.
Step 4: Audit & Load to Warehouse
Step 4: Audit & Load to Warehouse
Structured, governed outputs delivered to your SQL Server of Snowflake environment. audit trail by row.
