Natural Language Search for Pricing Data and Models

Purpose

Natural Language Search for Pricing Data and Models helps actuaries query pricing datasets and model results using conversational natural language, such as asking to show rate changes for small commercial auto in Ontario.

Primary users

The primary users are actuaries working with insurance pricing data, model results, pricing databases, model repositories, and related documentation.

Where it fits (process/stage/trigger)

This agent fits into actuarial pricing analysis when a user needs to search, explore, or retrieve information from pricing databases, model repositories, or documentation through a natural language query.

Key capabilities / workflow

The agent analyzes a natural language question, checks whether the request relates to pricing data or model results, searches the available pricing databases, model repositories, and documentation, validates whether the retrieved information is sufficient, and either delivers conversational results or loops back for query refinement.

Inputs

Typical inputs include natural language queries from actuaries and available source materials such as pricing databases, model repositories, and documentation. Additional structured input requirements are not specified.

Outputs / Deliverables

Outputs include conversational responses based on queried pricing datasets and model results. Additional output formats or deliverables are not specified.

Value

The agent reduces friction for actuaries by enabling faster access to pricing data and model results through natural language, helping users explore insurance pricing information without needing to manually navigate each dataset, repository, or document.