
Automated Reinsurance Bordereaux Reconciliation
Purpose
Automated Reinsurance Bordereaux Reconciliation is designed to identify inconsistencies between ceded premium or loss bordereaux and internal records using ML-based anomaly detection. Its purpose is to support reconciliation of reinsurance-related data by highlighting potential discrepancies across the provided bordereaux, internal policy or claim data, and reinsurer statements.
Primary users
The primary user is not specified in the provided information. The agent is associated with the AQS team or business unit and is owned by Ronan Davit.
Where it fits (process/stage/trigger)
This agent fits into the reinsurance bordereaux reconciliation process, particularly when ceded premium or loss bordereaux need to be compared with internal policy or claim records and reinsurer statements. The specific maturity stage, trigger, and operational timing are not specified in the provided information.
Key capabilities / workflow
The agent uses ML-based anomaly detection to analyze reinsurance bordereaux and internal records, identify inconsistencies, and support comparison against reinsurer statements. The workflow focuses on extracting relevant data, analyzing premium and loss records, detecting anomalies, validating whether reconciliation is complete, and delivering inconsistency findings.
Inputs
Typical inputs are not specified as formal input fields. The provided datasets include bordereaux data, internal policy or claim data, and reinsurer statements.
Outputs / Deliverables
The outputs are not specified in the provided information. Based on the stated use case, the agent delivers findings related to identified inconsistencies between ceded premium or loss bordereaux and internal records.
Value
The agent provides value by helping detect potential reconciliation issues in reinsurance data and by supporting the review of inconsistencies between bordereaux, internal policy or claim data, and reinsurer statements. This can help users focus attention on anomalous records during the reconciliation process.
