MGA Bordereaux Validation and Quality Assurance

A bordereau is an operational control surface

For an MGA, a bordereau is more than a spreadsheet sent to a carrier or capacity provider. It is a structured account of risks, policies, transactions, premiums, claims, commissions, taxes, and exposures under delegated authority. Its rows may support settlement, underwriting oversight, compliance reporting, portfolio analysis, and renewal decisions. A visually tidy file can still contain duplicated policies, stale endorsements, missing limits, incorrect dates, or totals that do not reconcile. Validation should make those risks visible before delivery.

Define the purpose and recipient of each bordereau. A monthly premium bordereau has different fields and tolerances from a claims bordereau or exposure report. Record the binding authority, reporting period, data owner, recipient, due date, currency, and expected aggregation. Product boundaries matter: a validation service can identify an apparent breach or missing field, while underwriting or compliance decides the business interpretation.

Start with a versioned data contract

A data contract describes columns, types, allowed values, relationships, calculations, and reporting rules. Include policy number, transaction type, inception and expiry, risk location, class, limits, deductibles, premium, tax, commission, currency, and capacity reference where relevant. Every field needs an owner and a statement of whether it is mandatory, conditionally mandatory, derived, or informational. Version contracts by effective date and retain the version used for each submission.

• Schema: headers, column order where required, data types, encoding, delimiter, and worksheet.
• Completeness: required values, conditional fields, approved blanks, and missing document references.
• Validity: dates, currency codes, enumerations, numeric ranges, and sign conventions.
• Consistency: policy dates, transaction sequence, premium basis, commission, tax, and totals.
• Authority: class, territory, limit, attachment, referral, and capacity constraints.
• Delivery: file name, period, checksum, recipient, encryption, deadline, and acknowledgement.

Ingest files without losing evidence

Real bordereaux arrive as CSV, Excel workbooks with formulas, fixed-width files, portal exports, or occasionally PDFs. Preserve the original upload, checksum, file owner, received time, and source location. Parse into a staging model before normalization. Record sheet and row references for every value so a reviewer can find the issue in the source. Do not overwrite the source when an operator corrects a row; create a controlled corrected version with reason and approval.

Preflight should catch an empty file, a changed header, a missing worksheet, a changed period, duplicate delivery, an unexpected row count, and totals that vary materially from the prior pattern. The comparison should be a warning or hold according to policy, never a hidden rejection. An MGA needs to know whether a problem came from the producer feed, the transformation, the validation rules, or the delivery step.

Policy and transaction-level validation

Validate identity and chronology first. A renewal should relate to a prior policy where the process expects continuity. An endorsement should reference an existing policy and fall within a sensible reporting period. A cancellation should not create a positive premium without explanation. New business, renewal, endorsement, cancellation, reinstatement, and correction transactions require different rules. Use transaction type rather than applying one universal row test.

Check risk and authority fields against approved values and effective dates. A class may be permitted under one authority version and outside appetite under another. Location, limit, deductible, attachment, occupancy, and insured type can trigger referral or reporting requirements. Validation should show the rule, field values, authority version, and severity. A warning can proceed with review; a blocking breach needs resolution or an approved override.

Financial and aggregate checks

Financial checks should reconcile row values to declared totals. Compare gross premium, taxes, fees, commission, net premium, return premium, and currency. Check sign conventions for cancellations and corrections. At aggregate level, compare policy count, premium, limits, exposures, and claims movement with source systems and prior periods. A total that agrees can still hide offsetting errors, so combine totals with row-level duplicate and completeness checks.

• Premium equals the documented basis, rate, and transaction treatment within an approved tolerance.
• Commission and fees follow the applicable agreement and are not double counted.
• Tax fields use the permitted treatment for the territory and transaction.
• Negative transactions link to an original policy or documented correction.
• Currency and exchange rate are present where aggregation requires conversion.
• Period totals agree with the submission scope and explain late or excluded rows.
• Claims or exposure totals use the same as-of date and definition as the recipient expects.

Cross-file and historical checks

Many defects appear only across submissions. Compare a current file with the prior accepted version to identify a policy that vanished, a premium that changed without a transaction, a duplicate policy number, or an endorsement repeated in two periods. Maintain a history of accepted rows and corrections. A difference is not automatically an error: a renewal, cancellation, late adjustment, or restatement may be valid. The queue should explain the observed change and ask for the evidence needed to classify it.

External reconciliation is equally important. Compare the bordereau with the policy administration system, underwriting record, accounting ledger, claims platform, and delegated authority register according to purpose. Preserve source timestamps because systems may update at different times. Never imply that a delayed source confirms a discrepancy. Mark the comparison as incomplete and schedule a retry or review.

Exception severity and ownership

A useful exception has a rule ID, severity, row or group, source reference, observed value, expected condition, owner, due date, and resolution state. Group related errors, such as every row missing a new producer code, while keeping row-level evidence. Separate data repair from business approval. Operations can correct formatting; an underwriter may approve a referral; finance may confirm a premium adjustment; compliance may decide how a breach is reported.

• Block: delivery cannot proceed until the issue is corrected or formally approved.
• Review: delivery may proceed after an authorized owner confirms the explanation.
• Warning: retain the message for trend analysis but no immediate action is required.
• Informational: record the observation for audit or downstream context.
• Waived: preserve who approved the exception, scope, reason, and expiry.

Human review and controlled overrides

No validation engine knows every legitimate exception. A missing field may be acceptable for a legacy policy, and a large change may reflect a valid acquisition. Provide an override workflow with evidence, authority, expiration, and scope. Avoid a permanent bypass switch. If the file changes after review, invalidate affected approvals and rerun validation. Show a clear diff between the reviewed file and the delivered file.

Reviewers need context without being overwhelmed. Provide summary counts by severity, premium and exposure impact, new rules triggered, prior decisions, and delivery deadline. Link to the source row and related policy history. Record comments and attachments outside the final file while preserving the audit relationship. This makes quality assurance reproducible when a capacity provider asks why a row was accepted.

Integration and delivery

A bordereaux workflow may receive data from submission portals, policy systems, underwriting workbenches, claims systems, finance, and coverholder tools. Use stable identifiers and mapping tables. APIs need retry and idempotency. Files need checksums and import runs. The delivery adapter should confirm recipient, encryption, filename, period, version, and acknowledgement. If a portal is unavailable, hold the approved file securely and show a delivery status rather than marking success.

Keep transformation logic explicit. If a recipient requires a different column order, currency, date format, or aggregation, store the mapping and test it against the contract. Never change source meaning merely to satisfy a template. The final artifact should link to the accepted data snapshot, rule version, approvals, and delivery receipt.

Security and privacy

Bordereaux can contain personal data, risk details, financial information, claims circumstances, and commercially sensitive capacity terms. Use least-privilege roles, branch or program isolation, encryption, protected exports, and audit logs. Avoid broad email attachments. Scan uploads, isolate conversion tools, and treat spreadsheet formulas and embedded links as untrusted. Review recipient addresses before delivery and require a second approval for high-impact or regulated reports.

Configure retention by source, report, and purpose. The operational audit trail may need to survive longer than a staging copy. Support legal holds and controlled redaction. Provider contracts should address subprocessors, access by support staff, data location, breach notification, and use of customer data in model training. A validation service should not become an uncontrolled repository of every historical risk file.

KPIs and quality assurance

• First-pass acceptance rate by producer, source, program, and validation rule.
• Defects discovered before delivery versus after recipient feedback.
• Time from receipt to accepted file and accepted file to confirmed delivery.
• Exception aging, recurrence, severity, and financial or exposure impact.
• Percentage of overrides with evidence and percentage expired on schedule.
• Row and aggregate reconciliation differences by source system.
• Late submissions, rejected deliveries, and recovery time after a failure.
• Downstream corrections, restatements, and repeated mapping defects.

Quality metrics need sampling. A high pass rate may indicate that the rules are too weak. Review accepted files for silent omissions and compare a sample with policy and accounting sources. Track false positives because noisy warnings lead users to ignore serious failures. The goal is reliable reporting with useful attention, not the largest possible error count.

Failure modes to rehearse

• A producer sends a workbook with a new column and formulas that reference an old range.
• A policy appears twice because a correction was appended rather than replacing a prior row.
• A cancellation is missing while the premium total still balances through another error.
• A capacity rule expires during the reporting period and both authority versions appear.
• The final file is approved, then a late correction changes a premium total.
• A recipient rejects a file after encryption or filename validation fails.
• A user approves a waiver for an entire column when only one legacy policy qualified.
• A delivery acknowledgement is lost and the system retries, creating duplicate reports.

Build versus buy and rollout

Buy when a product supports your recipient templates, rule model, evidence, approvals, and integrations with limited customization. Build when your delegated authority rules, source formats, or exception ownership are distinctive and existing tools cannot preserve the needed traceability. A first release should validate one program, one reporting family, and one delivery route. Run parallel submissions and compare totals, rows, defects, and review effort before expanding.

Do not promise autonomous underwriting or automatic compliance conclusions from a bordereaux validator. It can detect conditions, gather evidence, and route decisions. Underwriters, compliance, finance, and program owners retain authority for interpretation and exceptions. That boundary supports better governance and keeps the product testable.

Claims and exposure bordereaux

Premium reporting is only one bordereaux family. Claims files may contain notification date, loss date, status, paid amount, reserve, recovery, currency, and policy references. Exposure files may contain location, occupancy, values, limits, and period changes. Each has different validation logic and different consequences. A claims total should not be compared to a premium total simply because both use an amount column.

Define as-of behavior explicitly. A claim can be open at the prior report and closed in the current report, while a reserve may move without a new claim transaction. A location exposure may be restated after a data correction. Preserve prior snapshots, movement fields, and current state. Reviewers need to distinguish new activity from a correction to historical information.

Recipient-specific requirements

Capacity providers and oversight teams may request different layouts, aggregations, and evidence. Maintain recipient profiles with schema, delivery method, encryption, naming, deadline, and acknowledgement rules. Map from a canonical internal model to each output rather than maintaining unrelated spreadsheets. Review the transformation for dropped fields, changed signs, rounding, and aggregation.

A delivery should be a versioned event. Store the accepted data snapshot, output file checksum, recipient, sender, time, approval, and acknowledgement. If a corrected report is sent, mark the prior delivery superseded and explain the change. Do not overwrite the first file, even when the recipient asks for a quick replacement.

Testing the validator

Create a regression set from real redacted rows and difficult examples. Include valid edge cases as well as deliberate errors: zero premium, negative transaction, long policy number, leap-day date, multiple currencies, duplicate identity, missing optional field, expired authority, and a large but valid limit. Run the set whenever a rule or mapping changes. Store expected results and require review when a block becomes a warning or a warning disappears.

Test performance and recovery too. A month-end file may contain many rows and several related reports. The system should process asynchronously with visible progress, preserve partial failure details, and allow a safe retry. A failed run should not create a second accepted file or lose the source. Operators need a way to resume after a transient provider or storage error.

Change management for authority rules

Authority schedules change through endorsements, renewals, new programs, and capacity decisions. Store versions with effective and announcement dates, owner, affected classes, and required approval. Test the impact on open submissions and future bordereaux. A new rule should not silently reinterpret a previously accepted row. When a historical restatement is required, make it a documented new run.

Give underwriters a route to record a legitimate exception without weakening the general rule. An override should name the policy, authority version, approver, limit, and expiry. Review expired overrides and recurring overrides. They may indicate that the rule needs refinement or that a process is accepting business outside the intended control.

Implementation questions

• Which bordereaux families are in scope for the first release?
• Who owns each canonical field and each recipient transformation?
• Which checks block delivery and which require a documented review?
• How are policy and claims identities linked across system migrations?
• How are aggregate totals reconciled to policy, claims, and accounting sources?
• What evidence is retained for an approved override or waiver?
• How are corrected files versioned and recipients notified?
• What manual path is available when a source or delivery portal fails?

From producer file to accepted report

A reliable run has visible stages. The MGA receives and fingerprints the source file, confirms the reporting period, parses it into staging, and validates the structure before applying business rules. The system produces a summary of rows, premiums, exposures, claims, and currencies. Reviewers resolve or approve exceptions, then the accepted snapshot is transformed into the recipient format. A second check compares the final artifact with the approved snapshot. Delivery records the recipient, encryption, version, checksum, and acknowledgement. If a late correction arrives, the team creates a new run and explains its relationship to the first submission. This sequence gives capacity providers confidence that the file was controlled from receipt through delivery.

The process should also help the MGA learn. Repeated missing values may indicate that a producer template needs changing. Recurring authority warnings may show that underwriting guidance is unclear. A high volume of manual corrections may justify an API or a better canonical model. Quality assurance is therefore part of operational improvement, not a final inspection performed after the business has already moved on.

Producer and coverholder onboarding

Onboard each producer or coverholder with a data profile and a small accepted sample. Record the source format, field meanings, reporting calendar, contact, identifiers, currency, and known exceptions. Ask for examples of new business, renewal, endorsement, cancellation, claim, and correction transactions where those apply. Map them into the canonical model and compare the result with a manually reviewed statement. Approval should cover both the mapping and the business interpretation of important fields.

Keep onboarding separate from live exception handling. A temporary mapping used to inspect a sample should not automatically become the production rule. Version the profile, test it against prior examples, and schedule a review after the first accepted submission. If a producer changes its system, pause delivery or move to a controlled fallback until the new file has passed structural and financial tests.

Data lineage for every reported number

A recipient may ask how a premium total, claims reserve, or exposure value was calculated. The answer should be available through lineage. Link the final value to the output row, canonical record, source row, transformation, currency conversion, aggregate, and rule version. Preserve the as-of date and source timestamp. If a value was manually corrected, show who changed it, why, and which approval supports the change.

Lineage also helps resolve disagreements between systems. A policy platform may show written premium while accounting shows settled premium, and a capacity report may require a different definition. Document the metric definition and source authority in the recipient profile. A difference is easier to discuss when each team can see whether it concerns timing, definition, or an actual data defect.

Reconciliation with capacity and finance

Bordereaux validation should connect to financial reconciliation without collapsing the two processes. Compare premium and commission totals with accounting and settlement data, identify timing differences, and route unresolved amounts to finance. A capacity statement may be net of commission or fees, while an internal ledger stores gross values. Preserve both and record the transformation. This prevents a report from appearing balanced only because unlike measures were compared.

Use period controls for late transactions. A backdated endorsement may affect a prior underwriting period but arrive in the current file. Decide whether to restate, disclose, or include it as movement according to the reporting agreement. The system can flag the condition and assemble the evidence. The program owner decides the treatment and records it for the recipient.

Quality review and continuous improvement

Schedule a sample review of accepted rows, not only failed rows. Inspect a mix of producers, classes, transaction types, currencies, and high-value risks. Compare the file with source records and ask whether the validation messages were useful. Review false positives, missed defects, manual overrides, and delivery corrections. Use findings to adjust rules with tests and approvals. This cycle keeps validation aligned with the portfolio and recipient expectations.

• Confirm the source period, checksum, and reporting purpose before parsing.
• Review schema changes and unexpected totals before business validation.
• Trace high-value rows to authority, policy, accounting, and source evidence.
• Require approval for overrides with material premium, exposure, or claims impact.
• Compare final output with the approved snapshot before delivery.
• Retain acknowledgement, corrected versions, and recipient communication.
• Review recurring defects with producers and owners of upstream systems.

The recipient relationship should inform the design from the beginning. Ask which fields are used for settlement, which support oversight, and which are informational. Confirm how the recipient handles corrections, late rows, restatements, and duplicate submissions. Store that agreement beside the output profile and test it with the recipient's own acceptance checks when available. A validator is most useful when its definition of quality matches the decision the report is meant to support.

Keep the first release focused on reliable intake, transparent validation, and controlled delivery. Once those foundations work across several reporting cycles, the MGA can add richer analytics, producer feedback, and automated enrichment without weakening the audit trail.

That foundation makes every later enhancement easier to test and explain.

It also gives producers clear feedback about the records and fields that need improvement.

That feedback can be measured across reporting cycles.

Clear feedback also helps producers correct upstream records earlier.

What can we do for you?

Magna Products supports MGAs and delegated insurance teams with custom software development for bordereaux ingestion, validation, data quality queues, authority rules, approvals, and secure delivery. We can work from redacted files, real authority schedules, and recipient feedback to define a bounded workflow that improves assurance without replacing accountable underwriting decisions.