Certified AI Intelligent Document Processing Specialist

What you will be able to do

• Analyze a document population and design a capture approach
• Choose among templates, trained models and language models for extraction
• Set confidence thresholds and validation rules
• Design human review stations that are efficient and accurate
• Measure straight-through processing and field accuracy
• Integrate capture output with records and line-of-business systems

Modules

1. 1Document populations

   Sampling and analyzing the documents before choosing any tool.

   • Structured, semi-structured and unstructured documents
   • Volume, variety and image quality
   • Sampling for analysis
   • Document classes and splitting

   Exercise. Analyze a sample of 100 documents and group them into classes with volume estimates.

2. 2Extraction approaches

   Templates, trained extraction models and large language models each suit different document types and volumes.

   • OCR and ICR fundamentals
   • Template and zonal extraction
   • Trained extraction models
   • Language-model extraction and its risks

   Exercise. Recommend an extraction approach for three document classes and explain the choice.

3. 3Validation and confidence

   Rules and thresholds decide what goes straight through and what a person checks.

   • Field-level and document-level confidence
   • Cross-field and lookup validation
   • Threshold tuning against error cost
   • Handling hallucinated values

   Exercise. Write validation rules for an invoice: totals, tax, supplier lookup and date checks.

4. 4Human review design

   Review stations that show the person what to check and capture their corrections for retraining.

   • Exception-only review
   • Keying versus verifying
   • Capturing corrections
   • Reviewer productivity and accuracy

   Exercise. Sketch a review screen that lets a clerk confirm five fields in under twenty seconds.

5. 5Measuring performance

   Field accuracy, document accuracy and straight-through rate, measured against a ground-truth set.

   • Ground-truth sets
   • Field and document accuracy
   • Straight-through processing rate
   • Cost per document

   Exercise. Calculate straight-through rate and field accuracy from a set of sample results.

6. 6Integration and records capture

   Passing results to downstream systems and filing the source image as a record with its metadata.

   • Export formats and APIs
   • Filing to records systems
   • Audit trail of capture decisions
   • Retention of images and extracted data

   Exercise. Design the integration that files each processed document with its extracted metadata and capture audit trail.