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@article{181859,
        author = {G. venusree and G.V.S.Krishna and Javaji Parthasarathy},
        title = {Adoption of AI Tools in Indian Companies},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {2},
        pages = {215-224},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=181859},
        abstract = {Artificial Intelligence (AI) stands at the forefront of technological transformation, playing a critical role in redefining business operations and strategic decision-making in both global and Indian contexts. As companies strive to maintain competitiveness and enhance operational effectiveness, AI has become an indispensable tool in driving innovation, improving productivity, and delivering data-driven insights. In recent years, Indian enterprises have begun embracing AI technologies at an accelerated pace, integrating them into various functional areas such as customer service, supply chain, finance, human resources, and marketing.
This research project aims to analyze the adoption patterns, perceived impact, and associated challenges of AI tool implementation among employees in Indian organizations. The scope of the study spans multiple sectors, including Information Technology (IT), Banking and Financial Services, Manufacturing, Healthcare, and Retail, providing a comprehensive view of how AI is influencing diverse business landscapes.
Employing a descriptive research design, the study is grounded in primary data collection through a structured survey distributed to 150 employees working across small, medium, and large enterprises. The collected data is meticulously analyzed using statistical tools such as Microsoft Excel and SPSS to draw correlations between company size and the extent of AI adoption, while also identifying sector-specific trends and challenges. The key findings of the study indicate that larger organizations exhibit a significantly higher degree of AI adoption, leveraging these tools for process automation, data analysis, predictive modeling, and customer engagement. On the other hand, small and medium enterprises (SMEs) face considerable barriers such as financial constraints, lack of technical expertise, inadequate training infrastructure, and internal resistance to technological change. Despite these challenges, companies across all sizes reported notable benefits, including increased efficiency, faster decision-making, improved accuracy, and enhanced customer satisfaction.
This project offers meaningful insights for business leaders, policymakers, and technology enablers to understand the current state of AI implementation in India. It also presents strategic recommendations aimed at minimizing resistance, enhancing workforce capabilities through training, and fostering a culture of innovation. The findings underscore the need for tailored AI strategies that align with organizational size, sectoral dynamics, and long-term business goals, ultimately facilitating more successful and sustainable adoption of artificial intelligence in the Indian corporate ecosystem.},
        keywords = {},
        month = {June},
        }