A cash forecast gives you a view of what the organisation expects to happen. For an insurer, one expected outcome may not be enough.
Claims, reinsurance recoveries, collateral requirements, premium receipts and investment movements can change quickly. Your team may also need to understand the range of possible outcomes, the assumptions behind them and the events most likely to alter the liquidity position.
This is where forecasting begins to develop into broader liquidity intelligence.
Insurance cash flows contain uncertainty, particularly around claims, recoveries and market-related movements.
A more useful view may include:
This helps distinguish between cash flows that are contractually known, movements that are operationally expected and events that remain highly uncertain.
A scheduled tax payment may be predictable. A claim may be expected but subject to timing changes. A reinsurance recovery may depend on documentation, approval and settlement processes.
Making these differences visible can help your team focus on the uncertainty with the greatest liquidity impact.
A base forecast shows what you currently expect. Scenario analysis explores what may happen when conditions change.
Relevant insurance scenarios could include a major loss, earlier claim payments, delayed premium receipts, slower reinsurance recoveries, increased collateral requirements or adverse currency movements.
For each scenario, your team may want to understand:
This makes the forecast more useful as a decision-support tool rather than a periodic report.
Liquidity intelligence also depends on learning from what has already happened.
Comparing forecast and actual movements can reveal changes in collection behaviour, recurring claim-settlement patterns, delays in recoveries and weaknesses in assumptions.
This helps your team refine the process and focus on the drivers that matter most.
AI can help identify recurring behaviour, seasonality, unusual movements and changes in forecast drivers. It may also support likely payment dates, confidence ranges and forecast-versus-actual analysis.
Its value is not simply in producing another number. It is in helping your team interpret complex information more quickly and identify where attention may be required.
AI should remain explainable. Your team needs to understand which information was used, what influenced the output and where professional judgement is still required.
Rather than waiting for the next weekly or monthly forecast, a more connected process can show how expected and actual cash movements are changing.
This may help you identify emerging shortfalls, entity-level pressure and scenarios requiring further analysis before they become urgent.
Fennech Treasury Intelligence provides a consolidated view of where cash is held, how it is moving and which factors are influencing the liquidity position.
The Fennech Forecasting Agent can help analyse historical patterns and cash flow drivers, support confidence ranges and compare forecasts with actual outcomes. Oversight and decisions remain with the treasury professionals responsible for liquidity.
Speak to Fennech about moving from periodic forecasting to a more continuous view of insurance liquidity.
