Bordereaux Reconciliation Solution for Reinsurance

Reinsurance teams rely on bordereaux data to track premiums, claims, and exposure across cedents. Scry AI delivers bordereaux reconciliation for reinsurance that automates ingestion, validation, and matching of reinsurance bordereaux so teams can reduce delays, improve accuracy, and maintain stronger financial control.

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The Reality of Bordereaux Processing in Reinsurance

Bordereaux insurance workflows are inherently fragmented. Cedents submit bordereaux in spreadsheets, PDFs, and email attachments, each with different formats, field definitions, and levels of completeness.

Once received, the real effort begins. Teams must interpret submissions against treaty terms, validate them across policy, claims, and accounting systems, and resolve issues like missing identifiers, duplicates, and mismatched dates or currencies. As volumes increase, spreadsheet-led processes slow reconciliation cycles, reduce visibility into profitability, and increase the risk of financial leakage.

How Bordereaux Reconciliation Still Works Today

Most financial intelligence and risk assessment workflows still rely on analyst effort...

Fragmented data intake

Reinsurance bordereaux arrive through multiple channels in inconsistent formats.

Manual extraction and review

Teams manually extract premium, claims, and policy data from each submission.

Inconsistent standardization

Data is normalized across formats manually, increasing effort and variability.

Cross-system validation

Records are checked against policy systems, claims platforms, and accounting data.

Manual discrepancy detection

Errors such as duplicates, missing fields, and mismatches are identified through manual checks.

Spreadsheet-driven reconciliation

Outputs and reporting rely heavily on spreadsheets, slowing financial close.

Scry AI’s Bordereaux Management Solution

Scry AI provides bordereaux management software built on Collatio® to automate end-to-end bordereaux reconciliation for reinsurance. It enables teams to process high-volume bordereaux insurance data with greater consistency, accuracy, and traceability.

Automated bordereaux ingestion

Ingests and classifies reinsurance bordereaux across spreadsheets, PDFs, and email submissions.
AI-driven data extraction

Extracts premium, claims, policy, and coverage data from structured and unstructured formats.
Standardization across datasets

Aligns formats, field names, currencies, and reporting structures for consistent use.
Cross-system reconciliation

Matches bordereaux data against internal policy, claims, accounting, and treaty records.
Discrepancy detection

Identifies missing data, duplicates, and inconsistencies early in the workflow.
Audit-ready traceability

Maintains full audit trails with source-linked data for validation and compliance.
Scalable processing

Handles large volumes of reinsurance bordereaux across cedents, portfolios, and reporting periods.