The Role of RPA and AI in Automating Business Processes in Large Corporations
ER. AMIT MANGAL
, DR. PRERNA GUPTA , ER. OM GOEL
1. Robotic Process Automation (RPA) 2. Artificial Intelligence (AI) 3. Business Processes 4. Automation 5. Large Corporations 6. Integration 7. Data Entry 8. Invoice Processing 9. Customer Service 10. Machine Learning 11. Natural Language Processing 12. Cognitive Computing 13. Process Efficiency 14. Change Management 15. Ethical Implications
In today's fast-changing business world, large companies are increasingly adopting advanced technologies to simplify their operations and boost efficiency. Two of the most impactful technologies are Robotic Process Automation (RPA) and Artificial Intelligence (AI), which are revolutionizing how business processes are automated. This research paper delves into the role of RPA and AI in automating business processes within large organizations, focusing on their integration, benefits, challenges, and overall impact on organizational performance.
RPA involves using software robots, or "bots," to automate repetitive and rule-based tasks like data entry, invoice processing, and customer service operations. By imitating human interactions with digital systems, RPA helps reduce manual effort, minimize errors, and speed up operations. AI, on the other hand, uses machine learning algorithms, natural language processing, and cognitive computing to handle complex tasks that require learning, reasoning, and decision-making. When combined, RPA and AI create a powerful synergy, allowing not only the automation of routine tasks but also the handling of more complex processes through intelligent data analysis and predictive capabilities.
This study reviews several case studies of large companies that have successfully implemented RPA and AI technologies. It showcases how these technologies have been used to automate key business functions, including finance, human resources, and supply chain management. The findings indicate that RPA can significantly enhance process efficiency by managing high-volume, repetitive tasks, while AI adds value through advanced data analytics, pattern recognition, and automated decision-making.
Despite their advantages, integrating RPA and AI comes with challenges. Organizations need to address issues like data privacy, system compatibility, and change management. Moving to automated processes requires careful planning, investment in infrastructure, and training for employees to adapt to new roles and responsibilities. Additionally, it is essential to manage the ethical implications of AI, such as biases in algorithms and transparency, to maintain trust and compliance.
The paper also examines the measurable impact of RPA and AI on business performance. It analyzes metrics such as cost savings, productivity improvements, and error reduction to provide a quantitative evaluation of the benefits. Qualitative factors, such as employee satisfaction and customer experience, are also considered to give a complete view of the outcomes.
"The Role of RPA and AI in Automating Business Processes in Large Corporations", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.8, Issue 3, page no.e784-e799, March-2023, Available :https://ijnrd.org/papers/IJNRD2303502.pdf
Volume 8
Issue 3,
March-2023
Pages : e784-e799
Paper Reg. ID: IJNRD_226646
Published Paper Id: IJNRD2303502
Downloads: 00059
Research Area: Engineering
Country: -, -, India
ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: IJNRD (IJ Publication) Janvi Wave
