From AI experimentation to operational deployment

Insurance organisations are under increasing pressure to modernise highly manual processes while maintaining strict standards around governance, auditability and compliance.

Bordereaux management is a particularly clear example.

Insurers and MGAs receive large volumes of risk, premium and claims data from third parties, often in inconsistent formats and structures. Before that information can support reporting, analysis or decision-making, teams can spend significant amounts of time manually mapping, validating, reconciling and preparing it.

AI has enormous potential to change this.

But giving an AI model access to fragmented or poorly governed enterprise data doesn’t solve the underlying problem. AI needs a reliable supply of structured, trusted and governed information if it is going to operate safely in production.

That is the problem Verodat was built to solve.

The work recognised by the judges

Our submission demonstrated how Verodat has been used to establish a governed data layer for insurance operations — transforming fragmented bordereaux data into structured, validated and traceable information that can support automation, reporting and AI.

The results included:

• 94% reduction in processing time for complex bordereaux workflows
• 80%+ reduction in manual reporting effort
• 114 unique data mappings completed in under four weeks, turning years of legacy bordereaux into structured, analysis-ready data
• 36 historical files across three coverholders reprocessed in under one minute following a mapping correction
• 100% row-level audit traceability
• Production deployment achieved within a three-week compliance sign-off window

These weren’t results from a standalone AI demonstration. The capability was deployed into live, business-as-usual insurance operations.

A different approach to AI in insurance

For us, that distinction matters.

The conversation around enterprise AI often starts with the model. We believe it needs to start with the information being supplied to it.

Verodat creates a controlled layer between enterprise data and the tools, reporting environments and AI agents that need to use it. Data can be mapped, validated, governed and traced before it reaches the point of consumption.

That makes it possible to introduce automation without sacrificing the controls required in a regulated environment.

And the same foundation doesn’t only support AI. It gives insurance teams cleaner operational data for reporting, analysis, governance and decision-making today.