Get faster insights from your book by automating manual Bordereaux data cleaning and standardization operations.

The Problem

Proper collaboration and risk management between reinsurers, cedants, and MGAs requires continuously sharing risk data between multiple parties and systems. Historically, the industry has relied on sharing Bordereaux spreadsheets as a way to provide a picture of risk. 

While in theory Bordereaux have the same set of information, in practice they are a data processing nightmare because every partner formats their data differently—column names, date formats, and included fields vary widely. This creates major issues:

• Time-Intensive Processing: Ops teams must manually interpret, reformat, and validate each file—often taking hours or days.
  
  

• Revenue Delays: Slow processing delays premium recognition, hindering real-time financial tracking.
  
  

• Error Risk: Manual review of thousands of rows leads to missed violations of policy terms.
  
  

• Compliance Exposure: Delays or inaccuracies can cause regulatory issues and damage partner relationships.

In the end, teams who rely on them for their core operations must build out internal or overseas operations teams whose job is to clean and standardize the data so that it can be used for book analysis. 

The expensive, slow, and error prone process of leveraging this data ultimately prevents insurance leaders from using it as a regular part of their underwriting and decision making.