How does AI process a bordereau?

AI does not process a bordereau in one indivisible step. A controlled service moves through a sequence, from receipt of the source file to release of accepted data.

At each stage, the organisation should know what is being changed, which evidence supports the result and what happens if the stage fails. AI is most useful where layout or terminology varies. Fixed rules remain important for explicit requirements, and people remain responsible for material ambiguity and approval.

The precise design differs by organisation, but the following sequence provides a practical model.

Receive the bordereau and preserve its context

Processing begins with controlled receipt. The workflow records where the bordereau came from, when it arrived, which reporting period it covers and which delegated arrangement it relates to. File identity, version and any accompanying message may be important when resolving later questions.

The original submission should be retained unchanged. Working copies and transformed datasets can then be created without destroying the evidence. If a reviewer later asks why a value appears in the target data, the service should be able to point back to the relevant sheet, cell, page or region.

Initial checks can confirm that the file opens, is an allowed type, contains expected content and is not an accidental duplicate. Classification may identify whether it is a risk, premium or claims bordereau. Security checks, access restrictions and handling of personal or confidential data also apply before content is sent to any processing component.

Interpret structure and map business meaning

The next stage identifies how the source is organised. A workbook may contain title sheets, instructions, lookup tabs, subtotals and several transaction tables. A PDF may require character extraction and layout reconstruction before rows and columns can be recognised.

AI can help locate tables, distinguish headers from data and interpret variable labels using neighbouring fields and sample values. A mapping should connect a source concept to an approved target definition, not simply select the column with the most similar name.

For example, Premium might refer to gross, net, written or paid premium. The correct mapping may depend on other headings, transaction type and the reporting specification. A useful suggestion therefore includes source context, the proposed target and an indication of uncertainty.

Approved mappings can be reused when conditions remain applicable, but they should be versioned. A changed label, layout or business meaning should not be silently treated as identical to a previous submission.

Normalise, validate and reconcile

Once concepts are mapped, values can be converted to the target representation. Dates, decimals, currencies, country codes, status values and identifiers may need controlled normalisation. The raw value should remain traceable alongside the transformed value and the rule or mapping used.

Deterministic validations then test explicit requirements. They can check mandatory fields, permitted codes, date relationships, duplicates, arithmetic and authority-related thresholds where those rules are defined. Relational checks may compare records, linked bordereaux or reporting periods.

Reconciliation tests whether the transformation has preserved the population. Record counts and control totals can expose omitted rows, duplicated subtotals or sign errors. A technically valid field is not enough if the transformed set no longer agrees with the submitted evidence.

AI-supported checks can add semantic consistency or anomaly signals, but they should not obscure exact failures. Each result needs an operational disposition such as pass, warning, stop or review.

Review exceptions, release and monitor

Exceptions should reach the person able to resolve them. Structural questions may go to a bordereaux analyst, premium-basis issues to technical accounting and questions about delegated limits to an underwriter. The reviewer needs source evidence, the proposed result, failed controls and the available actions.

Corrections and approvals should be recorded rather than applied invisibly. Material unresolved issues may require a corrected submission; the workflow should be able to quarantine affected data without releasing it downstream.

Only data that meets the approved control gates should be released. The release record should identify the source version, mappings, rules, exceptions and approvals that produced it.

Monitoring continues after release. Teams should examine overrides, recurring failures, exception age, reconciliation outcomes and changes in incoming files. This feedback supports controlled improvement, but it should not be described as the system automatically learning every new format. Changes still need evaluation, testing and approval.

Example

A premium bordereau uses a new label for gross premium and places a subtotal halfway through the transaction table. The service preserves the original workbook and identifies its reporting period.

AI proposes the gross-premium mapping and marks the subtotal row as non-transactional. Deterministic rules test dates and codes, while record counts and totals check that excluding the subtotal has not removed genuine business.

Because the mapping affects a material accounting value, a technical accounting reviewer examines the headings, values and target definition before approving it. The output is released with its source lineage and approval record.

FAQs

• Does the AI change the original bordereau?

  It should not overwrite the original evidence. Processing creates controlled, traceable output while preserving the submitted file, its identity and its relevant context.

• How does the workflow know a mapping is correct?

  It combines target definitions, source headings and values, previous approved mappings, validation and reconciliation evidence, and human review where the meaning or impact is uncertain.

• What happens if a stage fails?

  The affected file or records should stop or be quarantined, with evidence preserved and an exception routed to the appropriate owner. Failure should not become silent downstream release.