Before automating a financial workflow define the exceptions

A workflow is easy to describe when every record is complete and every decision follows the expected path. The harder question is what the system should do when the information does not fit.

Consider an illustrative invoice process. An invoice arrives, the business checks it and a payment is approved. A diagram with those three steps leaves several decisions unresolved. What happens if the invoice number already exists? If the amount differs from the order? If a supplier detail has changed? If the person who normally approves the exception is unavailable?

Write the decision before choosing the tool

Start with the purpose of each decision. Record the information it needs, where that information comes from and which conditions allow work to continue. Then identify the conditions that require a pause or a person’s review.

For the invoice example, a useful specification might distinguish a duplicate record, a missing reference and an amount difference. Each category needs an owner, an allowed next action and a record of how it was resolved. This is a proposed design exercise, not a universal payment rule.

Check information against its purpose

The UK Government Data Quality Framework treats data quality as fitness for a particular use and distinguishes completeness from accuracy. A populated field can still contain the wrong value. That distinction matters when a workflow is about to rely on the record.

Define which checks are needed for the decision being made. A record that fails a check should reach an explicit exception path, rather than disappear into a generic error or continue without explanation.

Keep judgment visible

Some work can follow a documented rule. Other work requires context that the system does not have. Specify that boundary and give the reviewer enough information to understand why the item needs attention.

If AI is part of the process, define its task and evaluation separately from the business decision. NIST’s AI Risk Management Framework includes documenting human oversight and evaluating a system in its intended context. Referencing it here does not mean every workflow requires AI or that this design is certified against the framework.

Test the exceptions as carefully as the normal path

A practical review can use deliberately constructed test records: one that should proceed, one with missing information, one with conflicting values and one requiring a reviewer. For each, compare the expected result with the actual result and inspect the record left behind.

The resulting automation brief should describe the input, decision, exception, owner and evidence. This gives finance and IT a shared specification they can examine before implementation begins.