This content explains how Intelligent Document Processing (IDP) systems handle multi-format documents at scale, managing both structured and unstructured inputs. It details IDP's ability to structure and interpret diverse data with high accuracy, addressing inefficiencies in enterprise workflows.
Financial institutions face significant fines due to inefficient manual KYC/AML processes, causing bottlenecks in handling sensitive identity and financial records. AI-driven Intelligent Document Processing (IDP) offers a solution to automate data extraction, streamline operations, and enable staff to focus on risk analysis instead of manual data entry.
This post introduces a multi-document discovery feature that automates the pre-processing of unknown documents by clustering them by type and generating schemas for the IDP Accelerator. It explains how the new capability leverages visual embeddings for automatic clustering and agents for schema generation.
