Automated Model Input Testing Framework

Purpose

Automated Model Input Testing Framework is designed to run validation tests automatically on incoming data before model execution, with GenAI explaining the results and any exceptions identified during the validation process.

Primary users

The primary user is not specified. The available information indicates that the agent is owned by Ronan Davit within AQS and is intended for use in insurance-related model input validation contexts.

Where it fits (process/stage/trigger)

This agent fits before model execution, when incoming input datasets for pricing, reserving, or capital models need to be validated against control thresholds before they are used in downstream modeling processes.

Key capabilities / workflow

The agent analyzes incoming model input datasets, applies validation tests against control thresholds, identifies whether exceptions are present, and uses GenAI to explain validation results and exceptions before the model is executed.

Inputs

Typical inputs include input datasets for pricing, reserving, and capital models, as well as control thresholds used to determine whether the incoming data passes validation checks.

Outputs / Deliverables

Outputs include validation test results and GenAI-generated explanations of results and exceptions. Other output formats are not specified.

Value

The agent supports insurance model execution by helping validate incoming data before it is used, reducing the risk of running pricing, reserving, or capital models on inputs that contain unexplained issues or threshold exceptions.