How Intelligent Document Processing is Revolutionizing Document Management
Ernie Crawford

By: Ernie Crawford on October 31st, 2024

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How Intelligent Document Processing is Revolutionizing Document Management

Process Automation  |  Intelligent Information Management (IIM)  |  Intelligent Document Processing

Forward-thinking organizations seek technologies that streamline operations, reduce errors and improve productivity. One such technology is intelligent document processing (IDP), powered by artificial intelligence (AI). In this blog post, I’ll define intelligent document processing (IDP) and outline some key benefits of IDP. We will also explore how AI-driven IDP enhances efficiency, accuracy and operational effectiveness while reducing errors and costs.

 

Understanding Intelligent Document Processing

At its core, IDP uses AI, machine learning (ML) and natural language processing (NLP) to automate complex document onboarding and processing. Unlike traditional methods, which rely heavily on manual input, IDP offers a more efficient solution through automation:

  • Classifying documents based on content and structure (e.g., account statements, invoices, explanations of benefits (EOBs), legal notices)
  • Indexing structured data and unstructured text from various document formats, such as AFP and PDF
  • Validating extracted data by cross-referencing databases or predefined rules
  • Processing data for printing, electronic delivery, translation or accessibility purposes
  • Integrating data seamlessly into enterprise systems for smoother workflows

The Business Benefits of IDP, Powered by AI

The advantages of IDP go beyond just speeding up document processing. By adopting AI-driven IDP, organizations can:

Achieve scalability: Manual document processing can hinder scalability due to human limitations and errors. IDP solutions using AI/ML can scale effortlessly to process large volumes of data, ensuring documents are accurately classified and tagged without bottlenecks.

Boost productivity: Setup and document indexing is the most time-consuming part of any document, customer communications management (CCM) or enterprise communications processing (ECP) project. IDP increases productivity by more than 50% by automating time-consuming document indexing tasks. This boost is particularly significant when IDP is integrated into larger business workflows, reducing human error and freeing up resources.

Reduce costs: Automating document onboarding and processing tasks reduces labor and operational costs. IDP, especially in a cloud or SaaS environment, allows businesses to pay only for what they use, cutting down unnecessary expenses.

Enhance customer experience: Faster document onboarding and processing improves customer service. IDP enables personalized and more efficient interactions through chatbots, web portals or mobile apps, which can leverage document data to respond quickly to customer queries.

By transforming document management, IDP plays a critical role in industries where the onboarding and processing of documents are essential.

About Ernie Crawford

A digital document industry pioneer, Ernie Crawford is President/CEO and founder of Crawford Technologies. One of only a small number of people worldwide with M-EDP (Master Electronic Document Professional) designation, Ernie has more than 30 years of senior marketing and management experience in the high-volume digital printing market.