Revolutionizing Document Workflows with AI-Powered IDP in Pega

Authors

  • Sivasatyanarayanareddy Munnangi

Keywords:

Intelligent Document Processing (IDP), Artificial Intelligence (AI), Optical Character Recognition (OCR), Legal Sector, Insurance Sector.

Abstract

Intelligent Document Processing (IDP) has revolutionized the way businesses manage unstructured data, especially in sectors such as legal and insurance. These industries, which handle vast amounts of documents daily, often struggle with slow, error-prone manual processes. Pega's AI-powered IDP solutions address these challenges by automating document processing workflows, enabling faster data extraction and analysis. Leveraging technologies like machine learning, optical character recognition (OCR), and natural language processing (NLP), Pega's IDP significantly enhances operational efficiency and reduces costs associated with manual document handling. This article explores how Pega's AI-powered IDP has transformed document management in the legal and insurance sectors. By automating the extraction and validation of data from unstructured documents, Pega’s solutions reduce the time spent on manual data entry and improve accuracy. The integration of AI ensures that documents are processed swiftly and accurately, driving better decision-making and improving customer service. The paper also examines real-world examples of businesses that have adopted Pega’s IDP, focusing on the operational benefits, challenges, and limitations. With a focus on speed, efficiency, and accuracy, this article demonstrates how Pega’s IDP is setting a new standard for document processing in data-intensive industries.

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References

P. Smith et al., “Machine Learning for Document Management in the Legal Industry,” IEEE Transactions on Artificial Intelligence, vol. 35, no. 4, pp. 212-222, 2020.

J. Liu et al., “AI-driven Document Processing for Financial Services,” IEEE Access, vol. 8, pp. 567-578, 2020.

M. Zhang, “Transforming Document Workflows with AI in Insurance,” IEEE Software, vol. 38, no. 5, pp. 34-42, 2020.

A. Williams et al., “Automating Legal Document Analysis with NLP and OCR,” IEEE Transactions on Intelligent Systems, vol. 19, no. 3, pp. 118-129, 2020.

R. K. Jain, “Intelligent Document Processing for Healthcare and Insurance,” IEEE Computer Society Press, 2019.

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Published

10.12.2023

How to Cite

Sivasatyanarayanareddy Munnangi. (2023). Revolutionizing Document Workflows with AI-Powered IDP in Pega. International Journal of Intelligent Systems and Applications in Engineering, 11(11s), 570–580. Retrieved from https://www.ijisae.org/index.php/IJISAE/article/view/7152

Issue

Vol. 11 No. 11s (2023)

Section

Research Article

License

Creative Commons License

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

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