Reserving - Data Quality & Triangle Builder

Purpose

Reserving - Data Quality & Triangle Builder is designed to collect, clean, and structure claims and premium data for Insurance P&C and banking contexts, with a focus on preparing data for reserving analysis.

Primary users

The primary user is not specified. Based on the provided use case, the agent is intended for users working with claims, premium data, and reserving-related datasets in Insurance P&C or banking environments.

Where it fits (process/stage/trigger)

This agent fits before analytical reserving work, when claims and premium data need to be checked, cleaned, structured, and transformed into ready-to-analyze triangles.

Key capabilities / workflow

The agent collects claims and premium data, cleans and structures it, automatically detects inconsistencies such as dates, statuses, and extreme values, and generates triangles for payments, reported claims, and ultimate losses.

Inputs

Typical inputs are claims and premium data. Detailed input formats, datasets, systems, and required fields are not specified.

Outputs / Deliverables

Outputs include ready-to-analyze triangles for payments, reported claims, and ultimate losses. Detailed output formats and delivery channels are not specified.

Value

The agent helps improve reserving data preparation by identifying data quality issues and producing structured triangles that are ready for analysis, reducing manual preparation effort and improving consistency.