Transforming Historical Bordereaux: How Verodat Makes Backloading Fast, Accurate, and Scalable

What Verodat Does

Verodat turns that problem into a process.
We combine deep Lloyd’s market expertise with AI-powered software to transform historical bordereaux into clean, analysis-ready data — with full governance and auditability built in.

Our clients use Verodat to:

• Accelerate mapping creation and data standardisation across years of legacy files

• Apply AI-assisted field mapping that learns and improves with each iteration

• Deliver a fully auditable, MI-ready dataset to internal systems or warehouses such as SQL or Snowflake

• Free their internal teams from rework while maintaining complete transparency and control

How We Do It

Our process is proven, transparent, and designed for scale.

1. Requirements Capture
   We start by documenting the target state: how your data needs to look to meet Lloyd’s and internal reporting standards. This includes business context, validation rules, and version control.

2. AI-Assisted Mapping
   Verodat’s AI automatically aligns fields based on industry expertise and historic patterns, speeding up the mapping process and reducing manual effort.

3. Iterative Review & Collaborative Refinement
   Each mapping is reviewed through structured workflows and error reports. Your team retains oversight, while we handle the heavy lifting — transforming thousands of files at pace.

4. Full Audit Trail & Traceability
   Every transformation is tracked, enabling complete transparency for compliance, audit, and data-quality assurance.

This approach removes maximum pain from a complex process, while maintaining the quality control your team needs

Why Verodat Is Different

Verodat’s advantage lies in its blend of AI automation, Lloyd’s expertise, and disciplined methodology:

• Experience: Multiple backloading projects completed for leading carriers, underpinned by deep knowledge of Lloyd’s frameworks.

• Efficiency: AI-accelerated mapping supervised by human data experts.

• Methodology: A tranche-based model that learns from each iteration to improve accuracy and speed.

• Transparency: Real-time progress tracking, burn-down charts, and comprehensive audit logs.

• Speed: Rapid turnaround on initial mappings, with feedback loops built for continuous improvement.

As Ella Copeland, Customer Success Lead at Verodat, explained, “It’s not about making the process invisible — it’s about taking as much pain out of it as possible. Our way of working gives clients confidence in the results while keeping them in control.”

Proven Success

In a recent large-scale project, Verodat processed 114 mappings in under four weeks, handling thousands of files across multiple years of account. The project demonstrated Verodat’s ability to manage complex, multi-format historical data — transforming it into a unified, high-quality dataset ready for reporting and analytics.

Clients consistently report dramatic improvements:

• 94% faster processing times compared with manual methods

• 100% audit traceability across all transformations

• Significant reduction in rework and operational overhead

The Bigger Picture

Historical backloading is more than a cleanup exercise — it’s a foundation for transformation.
Once legacy bordereaux are structured and standardised, insurers can:

• Run cross-year performance analysis

• Power AI tools safely and effectively

• Simplify renewals and compliance submissions

• Identify risk and pricing trends hidden in years of disconnected data

Verodat makes this achievable — not as a one-off project, but as a repeatable, governed process that scales with your business.