GenAI Data Quality Reviewer

Purpose

GenAI Data Quality Reviewer is designed to generate narrative assessments that summarize data completeness, accuracy, and consistency across multiple datasets, using the provided data quality metrics, profiling reports, and source system extracts.

Primary users

The primary user is not specified in the provided information. The agent is associated with the AQS team and is owned by Ronan Davit.

Where it fits (process/stage/trigger)

This agent fits into data quality review activities where multiple datasets need to be assessed and summarized, particularly when data quality metrics, profiling reports, and source system extracts are available for review.

Key capabilities / workflow

The agent analyzes data quality metrics, reviews profiling reports and source system extracts, checks completeness, accuracy, and consistency indicators, and generates a narrative assessment summarizing the findings.

Inputs

Typical inputs include data quality metrics, profiling reports, and source system extracts. No additional input requirements were specified.

Outputs / Deliverables

The expected deliverable is a generated narrative assessment summarizing data completeness, accuracy, and consistency across multiple datasets. No other outputs were specified.

Value

The agent helps convert technical data quality evidence into a clear narrative assessment, supporting more efficient review and communication of completeness, accuracy, and consistency findings in an insurance context.