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Volume 1 - Issue 2, January - February 2026
π Paper Information
| π Paper Title |
AI-Powered IDP Framework for Intelligent HR Automation and Workforce Document Intelligence |
| π€ Authors |
Malothu Amru, Somala Rama Kishore, Dr. Mikkili. Dileep Kumar, Bodla Kishor, Edem Suresh Babu |
| π Published Issue |
Volume 1 Issue 2 |
| π
Year of Publication |
2026 |
| π Unique Identification Number |
IJCSED-V1I2-P1 |
| π Search on Google |
Click Here |
π Abstract
HR departments process vast amounts of paperwork, yet traditional methods are slow and costlyβtaking 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.
π 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.