What is AI Classification Model

What is AI Classification Model?

Sophisticated classification models assign confidence scores to each classification decision. Documents that fall below a confidence threshold are flagged for human review rather than processed automatically, preserving accuracy while maintaining throughput.

How confidence scoring works in practice

• Each document receives a confidence score at the point of classification.
• Documents that meet the threshold proceed automatically through the pipeline.
• Documents that fall below the threshold are routed for human review.
• This approach balances processing speed with accuracy, ensuring exceptions are handled without disrupting overall throughput.

Deployment options: Pre-trained and custom models

Pre-trained classification models can be deployed immediately for common document types. Custom training extends coverage to organization-specific document categories.

Choosing the right model approach

• Pre-trained models: Ready to deploy out of the box for standard document types such as invoices, purchase orders, and contracts.
• Custom models: Trained on organization-specific data to handle unique or specialized document categories.

Document classification is typically the first step in an IDP pipeline, determining how each document will be handled before extraction and validation begin.