Finance · Illustrative use case
Finance workflow automation
Automate matching, reconciliation, coding and exception handling across accounts payable and month-end.
- Step 1
The problem
Finance teams spend the close on manual matching, coding queries and chasing exceptions. Controls depend on people noticing anomalies in large volumes.
- Step 2
The AI opportunity
Combine deterministic automation for the rules-based majority with machine learning for coding suggestions and anomaly detection, and language models for handling supplier correspondence and queries.
- Step 3
Our approach
- 1.Map the workflow and separate rule-based steps from judgement steps
- 2.Automate the rules first; they are cheap and reliable
- 3.Add learned coding suggestions with confidence thresholds
- 4.Keep auditability at every automated decision
- Step 4
Expected business outcome
- Shorter close cycles
- Fewer coding corrections
- Earlier detection of anomalies
Outcome types are described without figures. Numbers come from your baseline and business case, not from a template.
- Step 5
How it is measured
- Days to close
- Touchless invoice rate
- Coding correction rate
- Anomalies detected before period end
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