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How Should Class of Business and Risk Code Data Be Validated in Bordereaux?

Quick answer

Class of business and risk-code validation should combine current reference lists with the binding-authority section, the class description and the substance of the risk. A valid-looking code can still be wrong for the contract or transaction. AI can suggest classifications from free text, but deterministic checks and authorised review should control acceptance.

What to remember

Key takeaways

  • Validate codes against current controlled reference data.
  • Check classification against the contract section and authority.
  • Use risk details to test semantic consistency.
  • Escalate conflicts rather than forcing the nearest code.

Class of business is used throughout delegated authority reporting, underwriting oversight and portfolio analysis.

A classification error can place a risk in the wrong contract section, conceal an authority issue or distort the information used for exposure, tax and regulatory work. The value may still look plausible because it exists in an approved list.

Reliable validation therefore needs more than a code-format check. It should connect the reported section, class description and risk code to the contract and the substance of the transaction.

Classification affects more than reporting labels

A delegated contract can authorise several classes of business under separate sections. The bordereau may report the section number, a free-text class description, a Lloyd's risk code or a combination of these fields.

They describe related concepts but are not interchangeable. The section identifies where the transaction sits within the contract. The class description explains the business in words. The risk code classifies the risk using a controlled market list.

An incorrect value can affect authority monitoring, portfolio aggregation and downstream reporting. For example, a code may be valid in the reference list but outside the classes permitted under the binder. Validation must assess both technical validity and business meaning.

Reference and contract checks form the baseline

Start by confirming that required values are present under the applicable reporting standard. Requirements may depend on the agreement, territory or reporting context, so teams should use current guidance rather than one permanent rule.

Validate codes against a controlled reference list with a recorded version and effective date. Check that the section exists in the contract and was active for the transaction date. Compare the reported class and code with the classes, coverages, exclusions and limits assigned to that section.

Cross-field rules should also test related information. Direct and reinsurance indicators, risk descriptions, subject matter, insured activity and territory may expose an implausible classification. A passing format and list-membership check is only the baseline.

AI can interpret descriptions and propose codes

Traditional mapping tables work well when a coverholder supplies stable local codes. They become harder to maintain where descriptions are inconsistent, abbreviated or newly introduced.

AI can interpret free text and rank likely classifications using the surrounding risk details. It can compare a proposed code with previous human-approved examples and flag a mismatch between the description and contract section.

The output should include candidate codes, supporting text and confidence rather than a silent replacement. Deterministic rules should reject invalid or out-of-scope codes. An authorised reviewer should decide between plausible candidates where classification requires underwriting knowledge.

Conflicting evidence needs an accountable decision

A forced classification may make a record pass validation while damaging its meaning. If the section, code and risk details disagree, the workflow should preserve the source values and send the case to the appropriate underwriting or data owner.

The reviewer should record the selected value, evidence and rationale. Where the source was wrong, the coverholder can correct the submission. Where a maintained mapping was wrong, the change should be version-controlled and tested before reuse.

Monitoring should show exception and override rates by coverholder, product and mapping rule. A recurring issue may indicate unclear source guidance, a contract change or a classification that the target model does not represent well.

Regulatory or jurisdiction-specific product classifications require qualified review. A general validation process should expose those conditions rather than infer a legal classification.

Example

A hypothetical marine coverholder submits a risk described as equipment stored permanently ashore but assigns a cargo risk code under a multi-section binder.

The code exists in the current reference list, so it passes the syntax check. A contextual rule compares the description, location and contract section and flags the inconsistency.

The managing agent's underwriter reviews the evidence and confirms the appropriate section and classification. The reporting team corrects the record and retains the decision so similar future cases can be routed consistently.

FAQs

  • Is a valid Lloyd's risk code automatically correct?

    No. The code must also fit the relevant contract section and the substance of the risk. Reference-list membership confirms that a code exists, but it does not confirm that the code is authorised or appropriate for the transaction.

  • Can a free-text class description replace a risk code?

    The current reporting standard, agreement and context determine which fields are required. Some circumstances permit one of several classification fields, while others impose more specific requirements. Teams should apply maintained conditional rules.

  • Who should resolve an ambiguous classification?

    An authorised underwriting or data owner with the necessary product and contract knowledge should make the decision. The evidence, rationale and any mapping change should be recorded.

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