Financial reporting automation works best when repeatable preparation and financial judgement are kept separate.
A straightforward reporting cycle could move through steps such as:
Data collected → Data prepared → Reporting rules applied → Checks completed → Report updated
But financial information is not always complete or consistent.
The workflow can flag situations such as:
- Missing financial data
- Unmapped accounts or categories
- Conflicting values between systems
- Unexpected movements
- Incomplete reporting periods
- Broken data connections
- Unusual margins
- Large unexplained variances
- Figures requiring further explanation
- Information requiring manual adjustment
When something does not make sense, the workflow should not invent an explanation.
It sends the issue to the finance team for review.
Automation prepares the information.
People remain responsible for understanding what the numbers mean.