Cash Flow Forecasting
Cash forecasting decays fast. The receivables aged differently, two large payables moved, a customer paid early, and the forecast that drove Monday’s decision is describing a world that no longer exists. Rebuilding it means re-pulling the same reports and re-typing the same numbers, so it gets done weekly at best — and by Thursday you are flying on stale data.
A Skynet agent keeps the model breathing. It reads receivables, payables, payroll timing, and bank position from the systems that hold them, rolls the forecast forward on your schedule, and writes a short note on what moved. The assumptions stay yours. The typing stops being yours.
How it works
Set the model, not the numbers
Hand the agent your existing forecast file. It learns your structure — collection lags, payment terms, payroll cadence, the recurring items you always carry — and treats those as the model rather than guessing at one.
Refresh from live sources
Connectors pull current AR ageing, open AP, and bank balances straight from your systems each cycle. The agent maps them into the model and rolls the weeks forward. No exports, no paste-into-column-C.
Explain the delta
The useful part is not the new number, it is the change. The agent compares this run to the last one and writes what drove the movement: a slipped collection, a new large payable, a timing shift on payroll.
Watch the floor
Tell it your minimum cash threshold. If a projected week breaches it, the agent raises it early with the drivers attached, so you are having the conversation weeks out rather than days out. Forecasts are estimates — the agent surfaces them, a person decides what to do.
Build it from a prompt
Describe the cadence and the thresholds once.
You end up with a forecast that is current on the day you look at it, not the day it was built. Because every run is grounded in the same live sources, week-to-week comparisons actually mean something — and the early warnings arrive while there are still options on the table.