Use scenarios to find better questions before making a decision.
Look at the week you have to manage
We would start a cash conversation with the lowest point, then ask what has to happen for the business to reach it safely. The final column can look comfortable while a payment in the middle needs attention. You have to run the business through every week on the chart.
Ask who knows the date
A receipt date may be an agreement, a usual pattern or somebody’s hopeful estimate. We want those differences visible. Ask the colleague who spoke to the customer what they actually know. AI can help organise the forecast; that conversation supplies information the model does not have.
Change one assumption
We would first move a collection date and look at the effect, keeping the rest of the example unchanged. Then test another assumption. This makes the dependence easier to discuss. A scenario is a way to explore a choice; it does not settle what will happen.
Put an owner beside the question
If a delayed receipt creates pressure, who will confirm the timing? If a planned payment can move, who has authority to discuss it? We want the forecast to lead to a specific conversation, with someone responsible for bringing back an answer.
Keep the routine manageable
Our preference is a view your team can update and explain. Give the person responsible clear inputs, a change record and a way to flag uncertainty. A forecast that depends on an adviser rebuilding it every week leaves too much knowledge outside your business.
What we would ask you
Which expected payment most affects your room to act? When did someone last verify it? We would begin there and build enough of a model to make the decision clearer. More detail can follow when it earns its place.