Pricing Model Explainability Assistant

Purpose

The purpose of Pricing Model Explainability Assistant is to translate model insights such as SHAP and LIME outputs into plain-language explanations for insurance pricing model interpretation.

Primary users

The primary user is not specified in the provided information. The agent is associated with AQS and is intended for users who need to understand insurance pricing model insights.

Where it fits (process/stage/trigger)

This agent fits after AI has produced model insights, including SHAP, LIME, variable importance metrics, and related feature data, and when those insights need to be translated into understandable explanations.

Key capabilities / workflow

The workflow extracts model outputs, variable importance metrics, and feature data, checks whether the necessary information is available, generates plain-language explanations from model insights, validates whether the explanation is clear and grounded in the provided data, and refines the wording when needed.

Inputs

Inputs are not specified. The provided dataset includes model outputs, variable importance metrics, and feature data.

Outputs / Deliverables

Outputs are not specified. Based on the provided use case, the agent delivers plain-language explanations of model insights generated from SHAP, LIME, and related model information.

Value

The agent helps make insurance pricing model insights easier to understand by converting technical explainability outputs into accessible language, supporting clearer interpretation of model behavior.