Short answer
An AI document-processing pilot is built for a single document type with a representative sample set and measures each critical field separately. Low-confidence records or records that contradict rules go to human review; the pilot tests not only field extraction but also creating a reliable record in the target system.
Use representative documents
Include different scan quality, languages and layouts. Testing easy examples of one template may not reflect production. Avoid moving unnecessary sensitive information into test environments.
Evaluate fields separately
Measure dates, amounts, companies and line items independently rather than giving an entire document one pass/fail score. Critical fields may require different tolerances.
Support human review
Low-quality, missing and inconsistent records go to a review queue. Show the source image and retain corrections. Do not assume an extracted value is correct.
Make a production decision
Compare errors, review time, service cost and integration effort with the baseline. Test reliable creation of destination records as well as extraction itself.
Confidence threshold and human review
For each extracted field, a confidence value and a validation rule are set: if amounts do not add up or a required field is empty, the record is not completed automatically. Lowering the threshold raises the automation rate but also the risk of errors; the right threshold is chosen with measurements that show the balance between error cost and review effort.
A practical evaluation exercise
Group scanned, rotated, incomplete and differently formatted documents in the sample. Assign types, required fields and validation rules to extracted values. Route missing documents or inconsistent amounts for review. Measure critical fields separately from whole-document success; one incorrect amount can matter more than several correctly recognised headings.
Frequently asked questions
Two questions we are often asked on this topic.
Can scanned and low-quality documents be processed?
Some can; success rises as quality rises. The pilot should measure quality by group and plan for documents that cannot be processed to fall to human review.
What decision is made at the end of the pilot?
Error rate, review time, service cost and integration effort are compared with the starting situation. If the result does not meet expectations, narrowing the scope or stopping is also a valid decision.
Sources and further reading
