Key Trends in Intelligent Document Processing (IDP) for Business

A new study by AIIM and Deep Analysis reveals that Intelligent Document Processing (IDP) is becoming an essential tool for modern companies.

Scriptum has published an overview of key trends in Intelligent Document Processing (IDP), based on a joint study by AIIM and Deep Analysis. The report, which surveyed over 600 enterprises across various industries, indicates a rapid shift of IDP from a promising area to an essential business tool.

According to the study, 78% of companies have already integrated artificial intelligence into their document processing workflows, demonstrating its widespread adoption. The majority of new IDP projects (66%) aim to replace outdated OCR solutions, as businesses require more flexible and intelligent systems. Furthermore, IDP extends beyond internal operations, with 62% of systems interacting with external users such as clients and partners, automating KYC procedures, contract management, and inquiries.

Companies cite significant reductions in document processing time as the primary benefit of implementing IDP, rather than staff reduction. It is also important to note that despite digitalization, 61% of IDP processes still handle paper documents, highlighting the need for hybrid solutions. Data security remains a key challenge, requiring modern systems to combine intelligence with robust protection mechanisms.

For Ukrainian businesses and the Intecracy Group audience, these trends signify the necessity of adapting to the modern demands of digital transformation. Implementing IDP enables:

  • Enhanced operational efficiency through automation of routine tasks and accelerated document processing.
  • Improved interaction with clients and partners by automating external processes.
  • Ensured competitiveness by leveraging advanced AI technologies for data analysis and management.

Consequently, intelligent document processing is becoming an integral part of modern business infrastructure, contributing to increased productivity and data-driven decision-making.

Source: Scriptum