AI Knowledge Hub

Can AI process Excel bordereaux?

Quick answer

Yes. Modern AI can process Excel bordereaux even when different coverholders use different spreadsheet layouts, column names and workbook structures. Rather than relying on a predefined template, AI can interpret the business meaning of the data, transform it into a target format and highlight any records that require human review.

What to remember

Key takeaways

  • AI can process most Excel bordereaux without requiring a unique import template.
  • Multiple worksheets, varying column names and inconsistent layouts can all be handled.
  • Data quality issues can be identified during processing.
  • Human review remains important where confidence is low or business rules identify exceptions.

Microsoft Excel remains the most common format for delegated authority bordereaux.

Every month, insurers, managing agents and brokers receive spreadsheets from multiple coverholders, often containing exactly the same business information presented in completely different ways.

For operations teams, the challenge is rarely opening the spreadsheet.

The challenge is understanding it.

Before information can be loaded into downstream systems, someone must determine what every worksheet, column and value represents.

That interpretation has traditionally been one of the most time-consuming parts of bordereaux processing.

Why Excel creates operational challenges

Excel is extremely flexible.

That flexibility benefits coverholders but creates challenges for organisations receiving bordereaux.

Common variations include:

  • Different worksheet names.
  • Multiple tables within one workbook.
  • Columns presented in different orders.
  • Different terminology for the same business field.
  • Hidden rows and columns.
  • Formula-driven values.
  • Blank rows and formatting.
  • Summary information mixed with transactional records.

Although experienced operations teams quickly recognise these differences, traditional import tools often require a different mapping or import template for every significant variation.

Understanding the information rather than the layout

Modern AI approaches Excel differently.

Rather than assuming that Column G always contains Gross Written Premium, AI examines the contents of the column and the surrounding context.

It may recognise that Premium, Gross Premium, GWP and Written Premium all represent the same underlying business concept.

Similarly, it can identify policy references, dates, currencies and insured information even when they appear in different locations.

This makes AI significantly more adaptable to changing spreadsheet formats than traditional template-driven processing.

Working with complex workbooks

Delegated authority bordereaux are not always simple spreadsheets.

Many organisations receive workbooks containing:

  • Premium bordereaux.
  • Claims bordereaux.
  • Summary worksheets.
  • Validation sheets.
  • Pivot tables.
  • Notes for reviewers.

Modern AI workflows can identify which worksheets contain transactional data and focus processing on those areas while ignoring information that is not relevant.

Data validation remains essential

Successfully reading an Excel workbook is only the first step.

The extracted information should also be validated.

Typical validation checks include:

  • Missing mandatory fields.
  • Invalid dates.
  • Currency inconsistencies.
  • Duplicate policy references.
  • Missing claims values.
  • Premium totals that do not reconcile.

Rather than silently correcting issues, AI can identify records that require review before the data is accepted.

Where organisations see the biggest benefit

Many organisations expect AI to reduce data entry.

In reality, one of the greatest benefits comes much earlier in the process.

Instead of spending hours understanding how a new spreadsheet has been structured, operations teams can focus on validating the results and resolving genuine exceptions.

This improves consistency while allowing experienced delegated authority specialists to concentrate on judgement rather than repetitive formatting tasks.

Example

An insurer receives monthly premium bordereaux from twenty-five coverholders.

Every workbook contains policy references, premiums and inception dates, but each spreadsheet has been designed independently.

Instead of creating and maintaining twenty-five different import templates, AI analyses each workbook, recognises equivalent business concepts and transforms the information into the insurer's preferred target format before validation.

Only a small number of exceptions require manual review.

FAQs

What's next?

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