Reinsurance Structure Optimization

Purpose

Reinsurance Structure Optimization combines optimization algorithms with GenAI scenario narration to propose and explain reinsurance structures for insurance-related use cases.

Primary users

The primary user is not specified in the provided information.

Where it fits (process/stage/trigger)

This agent fits into reinsurance structure analysis and decision support, using exposure, loss, treaty, and capital model information when teams need to evaluate and explain possible reinsurance structures.

Key capabilities / workflow

The agent analyzes exposure by peril and region, loss distributions, treaty terms, and capital models, applies optimization algorithms to propose reinsurance structures, and uses GenAI scenario narration to explain the resulting structures.

Inputs

Typical inputs include exposure by peril and region, loss distributions, treaty terms, and capital models. Other inputs are not specified in the provided information.

Outputs / Deliverables

The outputs include proposed reinsurance structures and explanatory scenario narration. Other outputs are not specified in the provided information.

Value

The agent supports insurance reinsurance decision-making by combining quantitative optimization with clear narrative explanations, helping users understand proposed structures and related scenarios.