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Volume 1 - Issue 2, January - February 2026

πŸ“‘ Paper Information
πŸ“‘ Paper Title AI-Powered IDP Framework for Intelligent HR Automation and Workforce Document Intelligence
πŸ‘€ Authors Malothu Amru, Somala Rama Kishore, Dr. Mikkili. Dileep Kumar, Bodla Kishor, Edem Suresh Babu
πŸ“˜ Published Issue Volume 1 Issue 2
πŸ“… Year of Publication 2026
πŸ†” Unique Identification Number IJCSED-V1I2-P1
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πŸ“ Abstract
HR departments process vast amounts of paperwork, yet traditional methods are slow and costlyβ€”taking 42 days to fill a role at an average cost of $4,129 per hire. AI-driven Intelligent Document Processing (IDP) is revolutionizing resume screening, contract generation, payroll, and compliance, cutting errors and administrative burdens. Companies like Amazon and IBM leverage AI for faster, bias-free hiring, while AI-driven payroll automation reduces processing errors by 90%. A 2023 LinkedIn report found that 67% of hiring managers now use AI, improving recruitment efficiency. However, concerns about algorithmic bias and regulatory compliance remain, with oversight from the EU AI Act and US EEOC. This paper explores real-world applications, business impact, and ethical considerations, showing how AI-powered IDP is reshaping HR workflows for efficiency, accuracy, and fair hiring.
πŸ“ How to Cite
Malothu Amru, Somala Rama Kishore, Dr. Mikkili. Dileep Kumar, Bodla Kishor, Edem Suresh Babu, "AI-Powered IDP Framework for Intelligent HR Automation and Workforce Document Intelligence" International Journal of Computer Science and Engineering Development, V1(2): Page(01-07) May-June 2026. ISSN: 3139-0862. www.ijcsed.com. Published by Scientific and Academic Research Publishing.
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