AWS has demonstrated a document processing pipeline that combines on-demand and batch inference options on Amazon Bedrock.
The point is flexibility. Some extraction tasks need low latency, while others can wait for cheaper batch processing. A dynamic pipeline lets teams choose based on document volume, urgency, and cost constraints.
That makes the post relevant for enterprise AI teams turning document understanding from a demo into an operational workflow.