Automating invoice and document workflows
Document automation succeeds when it is designed around exceptions. Every system will encounter a scanned receipt from 2019, and the question is what happens next.
The pipeline
Ingest, classify, extract, validate, reconcile, post. Extraction is the part vendors sell; validation and reconciliation are where the value and the risk sit.
Validation checks totals against line items, matches vendor names against master data, and confirms tax identifiers before anything is posted.
The exception queue
Anything that fails validation goes to a queue with the original document beside the extracted fields. Reviewers correct rather than retype, and every correction becomes training data.
Measure straight-through rate
The metric that matters is the share of documents processed without human touch. It starts low and should rise monthly as rules and prompts improve.
Common questions
- How accurate is document extraction today?
- High for clean digital documents and good for clear scans. Handwriting, unusual layouts and poor images still need review, which is why the exception queue matters.
- Can it post directly into our accounting system?
- Yes, through the system’s API or import format, with validation and an audit trail. Direct posting without validation is how duplicate payments happen.
Next step
If this question is live in your business right now, describe the situation and you will get a written view on the options, including whether you should build at all.
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