Cash forecasting that updates itself

A thirteen-week cash forecast built in a spreadsheet is accurate on the day it is built and decays from there. By the time it is reviewed, payments have cleared, receipts have landed, and the assumptions have moved. The forecast everyone is staring at describes a world that no longer exists.

Why staleness is the real problem

The point of a cash forecast is to make decisions — when to draw on a facility, whether to delay a payment, how much runway remains. Those decisions are only as good as the currency of the forecast. A precise model on outdated inputs is worse than a rough model on current ones, because it invites false confidence.

Continuous drivers

  • Actual receipts and payments update the forecast as they clear, not at the next manual refresh.
  • Open receivables and payables feed expected timing automatically.
  • Scenario assumptions are explicit and adjustable, not buried in cell formulas.

The agent’s role

An agent maintains the forecast against live data — pulling balances across banks, updating expected collection dates from payment behavior, and reflecting confirmed payment runs. The treasurer adjusts assumptions and reads a forecast that is current as of this morning, not last week. The work of rebuilding the model every week disappears, and the decisions rest on numbers you can actually trust.

A forecast that updates itself is not just less work. It is a better forecast, because its value was always in being current.

Put it into practice.

See how Astridex automates this on your actual workflows.