Risk exposure analysis via LLM

Purpose

Risk exposure analysis via LLM is designed to extract information from an entire contractual database in order to produce macro-analyses on mass risk exposure, including risks such as terrorism, flooding, and strikes. The use case targets calculations that were previously inaccessible or highly time-consuming, requiring more than 100 man-days of work.

Primary users

Not specified in the provided information. The agent is associated with the DFA team or business unit, and the listed owner is Louis HOUNGAVOU.

Where it fits (process/stage/trigger)

This agent fits into cross-industry risk analysis processes when an organization needs to assess exposure across a large contractual database. It is triggered when macro-level risk exposure insights are required from contract data.

Key capabilities / workflow

The chatbot extracts relevant information from the contractual database, analyzes it through an LLM-based workflow, checks whether the risk exposure analysis is complete, and produces macro-analysis outputs on mass risk exposure. If information is unavailable or incomplete, it flags the limitation rather than generating unsupported results.

Inputs

Inputs are not specified in the provided information. The available source mentioned is the entire contractual database, which the chatbot uses to extract information for risk exposure analysis.

Outputs / Deliverables

The outputs are macro-analyses on mass risk exposure, including exposure related to terrorism, flooding, strikes, and similar risk categories explicitly mentioned in the provided use case. Other output formats are not specified.

Value

The agent creates value by enabling risk exposure calculations that were previously inaccessible or required more than 100 man-days of manual work. It helps accelerate large-scale contractual risk analysis and supports better visibility into mass exposure across contract portfolios.