A dashboard makes a change visible. The next task is to decide what to do about it. A decision intelligence workflow connects the signal to its likely causes, available responses and the person with authority to act.
Following a question through the business
Imagine that a finance leader asks why cash collection is below plan. The workflow checks the receivables data and identifies the customers driving the change. It can then examine disputes, payment patterns and operational events that may explain the delay. Each explanation needs a traceable source.
Possible responses should be evaluated against the same business constraints. Accelerating a collection might damage a customer relationship or divert a team from a more valuable task. The system should make those assumptions visible enough for the decision owner to challenge them.
Close the loop
Once an action is approved, the workflow should retain the decision and its expected effect. Comparing the outcome with that expectation creates evidence for the next recommendation. It also reveals whether an apparently successful action worked for the reason the system predicted.
This working paper outlines a design direction. Its examples are illustrative and do not describe a measured client implementation.