Cash Flow Forecasting (AQS)

Purpose

Cash Flow Forecasting (AQS) is designed to predict incoming and outgoing cash flows for an insurance P&C context, including premiums, claims, reinsurance, investments, and related liquidity movements over short-, medium-, and long-term horizons.

Primary users

The primary user is not specified in the provided information. The agent is associated with the AQS team and owned by Ronan Davit.

Where it fits (process/stage/trigger)

The agent fits into liquidity forecasting and cash flow planning processes, where forecasts are updated continuously as new data arrives and used to project liquidity needs on time horizons such as daily, monthly, or quarterly.

Key capabilities / workflow

The agent uses machine learning models to analyze historical cash movements, payments, claims data, premium schedules, reinsurance recoveries, investment income, premium projections, and market scenarios, then generates and updates liquidity forecasts when new data becomes available.

Inputs

Inputs explicitly described include historical cash movements, historical payments and claims data, premium schedules, premium projections, reinsurance recoveries, investment income, and market scenarios such as interest rates, inflation, and catastrophe losses. The formal input field is not specified.

Outputs / Deliverables

The main output is a dynamic liquidity projection covering short-, medium-, and long-term horizons, with examples including daily, monthly, and quarterly liquidity projections. The formal output field is not specified.

Value

Cash Flow Forecasting (AQS) helps support forward-looking liquidity planning in insurance P&C by continuously updating forecasts based on new data and market scenarios, enabling better visibility into expected incoming and outgoing cash flows.