# AI workflow acceptance and exception log

Original guidance and working materials. Validate against your business; these are not measured project results or delivery commitments.

## Test conditions

- Business task and input scope: ____
- Product or model, prompt or rule versions: ____
- Document, template and data versions: ____
- Test date, operator and business reviewer: ____
- Sample sources and permitted use: ____

## Record each sample

| Sample ID | Type | Expected result and evidence | Actual result | Error or omission | Human action | Time | Review outcome |
| --- | --- | --- | --- | --- | --- | --- | --- |
| Complete | Normal or exception | Complete | Complete | Complete | Complete | Complete | Complete |

## Preserve the denominator

Separate normal and exceptional samples. Include incomplete runs, failures and human intervention. Record preparation, checking and rework for both workflows. A fast demonstration is not a general result.

## Synthetic text samples

The additional JSON file contains fictional order text with complete fields, a missing date, a duplicate and a unit difference. It tests field and exception rules. It contains no PDF files and cannot establish PDF recognition performance.

## Record the decision

- Scope that can continue: ____
- Changes, missing data and retests needed: ____
- Owner and next review date: ____
- Evidence for acceptance or stopping: ____