NEXT-GEN AI FOR BUSINESS TRANSFORMATION
DOI:
https://doi.org/10.60101/rmuttgber.2025.293081Keywords:
Business transformation, AI transformation, Agentic AI, AI GovernanceAbstract
This academic paper examines the process of transforming business to modern era with artificial intelligence technology. To serve as a guide for digital entrepreneurs in Thailand. Referring to information from global indices and government policies that support the creation of artificial intelligence innovation for the public and private sectors. Business transformation involves many factors, including the integration of advanced technologies into business processes. Adapting new business strategies and models Developing skills in using artificial intelligence for personnel, determining operational measures. Reorganization and culture evolution. The business transition to the artificial intelligence era with agentic AI is an evolution of AI that could understand commands or targets and turn them into a series of complex actions without relying on human control. It is considered a change in AI that supports entrepreneurs in the digital era for competition. The Artificial Intelligence regulatory framework under the EU AI Act and the National AI Action Plan for Thailand's Development establishes guidelines for data management to associate technology, ethics, and good governance, build consumer confidence, and promote social responsibility.
References
Ávila-Guerrero, F. M., Díaz, I. V. B., & Gómez, D. A. M. (2023). Transformación Digital Empresarial Revisión de producciones investigativas 2017 – 2021. Revista Venezolana de Gerencia, 28(101), 282–296. https//doi.org/10.52080/rvgluz.28.101.18
Bai, J., Wang, Z., Zhou, Y., Yin, H., Fei, W., Hu, Q., Deng, Z., Cheng, J., Zheng, T., Tsang, H. T., Gao, Y., Xie, Z., Li, Y., Fan, L., Yuan, B., Wang, W., Chen, L., Zhou, X., & Song, Y. (2025). Top Ten Challenges Towards Agentic Neural Graph Databases (No. arXiv2501.14224). arXiv. https//doi.org/10.48550/arXiv.2501.14224
Bank of Thailand. (2024). Policy guidelines for managing risks from the use of artificial intelligence systems for financial institutions [Policy guidelines]. Bank of Thailand. Retrieve from https://www.bot.or.th/content/dam/bot/fipcs/documents/FOG/2568/ThaiPDF/25680178.pdf
Bank of Thailand. (2024). Annual Report 2023. Bangkok: Bank of Thailand. Retrieve from https://www.bot.or.th/content/dam/bot/documents/en/research-and-publications/reports/annual-report/AnnualReport_2023Eng.pdf?utm_source=chatgpt.com
Bulchand-Gidumal, J., William Secin, E., O’Connor, P., & Buhalis, D. (2024). Artificial intelligence’s impact on hospitality and tourism marketing Exploring key themes and addressing challenges. Current Issues in Tourism, 27(14), 2345–2362. https//doi.org/10.1080/13683500.2023.2229480
Chen, L. (2023). Artificial intelligence-based solutions for climate change A review. Environmental Chemistry Letters, 21, 2525–2557. https//doi.org/10.1007/s10311-023-001617-y
Dechachai, P., Chanwasunan, P., Phiansuphap, W., & Kaewmoracharoen, M. (2025). Utilizing Agentic AI for Rebar Tracking on Construction Sites to Enhance Construction Project Management. The 30th National Convention on Civil Engineering, 30, CEM-18. https://conference.thaince.org/index.php/ncce30/article/view/3898/1715
Digital Economy Promotion Agency (depa). (n.d.). How can AI help businesses during a recession? .depa Thailand—Article View. Retrieved August 6, 2025, Retrieve from https//www.depa.or.th/th/article-view/ai-how-can-help-businesses
Digital Government Development Agency. (2023). Policy and plan for the development of digital economy and society, B.E. 2561–2580 (2018–2037.) Retrieve from https//gdcatalog.go.th/dataset/gdpublish-nationalpolicy
Escóbar, M. C. C. (2023). LA TRANSFORMACIÓN DE LAS EMPRESAS EN UN ESCENARIO POST PANDEMIA, LA ADOPCIÓN DE NUEVAS TENDENCIAS. Orbis Tertius - UPAL, 7(13), 139–150. https//doi.org/10.59748/ot.v7i13.131
European Commission. (2025). AI Act. Retrieve from https//digital-strategy.ec.europa.eu/en/policies/regulatory-framework-ai
Gao, X., & Feng, H. (2023). AI-Driven Productivity Gains: Artificial Intelligence and Firm Productivity. Sustainability, 15(11), 8934. https://doi.org/10.3390/su15118934
Hosseini, S., & Seilani, H. (2025). The role of agentic AI in shaping a smart future A systematic review. Array, 26, 100399. https//doi.org/10.1016/j.array.2025.100399
IMD. (2025). Rankings. Retrieve from https://www.imd.org/entity-profile/thailand-wcr/
Jongwanich, J. (2024). The Digital Economy in Thailand Potential and Policies. Retrieve from https//www.econ.tu.ac.th/uploads/discussion_paper/file/20240103/efijnqstxy59.pdf
Khanda, R. (2024). Agentic AI-Driven Technical Troubleshooting for Enterprise Systems A Novel Weighted Retrieval-Augmented Generation Paradigm. arXiv. https//doi.org/10.48550/arXiv.2412.12006
Meesaj, P. (2025). AI literacy and the application of the Artificial Intelligence Act in the digital era under the project for promoting ethics, volunteer spirit, and organizational mindfulness. [Special lecture]. Special Lecture Program, Faculty of Technical Education King Mongkut's University of Technology North Bangkok.
Mohajan, A. (2025). Agentic AI and Decision-Making Impacts on Future Business Strategies (SSRN Scholarly Paper No. 5383444). Social Science Research Network. https//doi.org/10.2139/ssrn.5383444
Morozova, N., Denchyk, I., Tarasenko, O., & Parkhomenko, T. (2023). DIGITAL TRANSFORMATION OF BUSINESS. FINANCIAL AND CREDIT SYSTEMS PROSPECTS FOR DEVELOPMENT, 2(9), 42–49. https//doi.org/10.26565/2786-4995-2023-2-05
Murugesan, S. (2025). The Rise of Agentic AI Implications, Concerns, and the Path Forward. IEEE Intelligent Systems, 40(2), 8–14. https//doi.org/10.1109/MIS.2025.3544940
National Science and Technology Development Agency. (2022). National Action Plan on Artificial Intelligence for Thailand Development 2022-2027. Retrieve from https//ai.in.th/wp-content/uploads/2022/12/20220726-AI.pdf
Nemko Digital. (2025). EU AI Act 2025 Update. Retrieve from https://digital.nemko.com/insights/eu-ai-act-rules-on-gpai-2025-update
Pipakdee, P. (2025). GENTIC AI THE GENIUS AGENT ARTIFICIAL INTELLIGENCE. Interdisciplinary Journal of Innovation Review, 8(3), 272–284.
Portulans Institute. (2024). Network Readiness Index 2024. Portulans Institute. Retrieve from https//portulansinstitute.org/wp-content/uploads/2024/11/nri-2024-3.pdf
Reuters. (2024). Thailand to pursue new policies to boost and protect digital economy. Reuters. Retrieve from https//www.reuters.com/world/asia-pacific/thailand-pursue-new-policies-boost-protect-digital-economy-2024-11-08/
Sagio, I., Pramesworo, I. S., & Ekasari, S. (2025). ARTIFICIAL INTELLIGENCE IN THE RETAIL SECTOR MARKET AND BUSINESS MODEL TRANSFORMATION. INTERNATIONAL JOURNAL OF ECONOMIC LITERATURE, 3(4), 133–146.
Sawant, P. (2025). Agentic AI A Quantitative Analysis of Performance and Applications. Computer Science and Mathematics. https//doi.org/10.20944/preprints202502.1647.v1
Shireesha, S., Varalakshmi, D. T., & Thara, E. (2024). Digital Transformation Impact of Technology on Business Processes. International Research Journal on Advanced Engineering and Management (IRJAEM), 2(05), 1697–1700. https//doi.org/10.47392/IRJAEM.2024.0246
Singh, A., Ehtesham, A., Kumar, S., & Khoei, T. T. (2025). Agentic Retrieval-Augmented Generation A Survey on Agentic RAG. arXiv. https//doi.org/10.48550/arXiv.2501.09136
Stahl, B., Häckel, B., Leuthe, D., & Ritter, C. (2023). Data or Business First?—Manufacturers’ Transformation Toward Data-driven Business Models. Schmalenbach Journal of Business Research, 75, 303–343. https//doi.org/10.1007/s41471-023-00154-2
Stukalina, Y., & Zervina, O. (2023). Business digital transformation in the data-driven economy Enhancing value with ai services. Vilnius Gediminas Technical University. Retrieve from https//etalpykla.vilniustech.lt/handle/123456789/153935
TIDC. (2024). MDES Supports Private Sector to Establish Thailand International Digital Business & Finance Centre (TIDC) Project, Boosting Investments in Digital Innovation to Advancing Thailand’s Digital Economy. TIDC. Retrieve from https//tidc.co.th/mdes-supports-private-sector-to-establish-thailand-international-digital-business-finance-centre-tidc-project-boosting-investments-in-digital-innovation-to-advancing-thailands-digita/
Wang, Z., Lin, S., Chen, Y., Lyulyov, O., & Pimonenko, T. (2023). Digitalization Effect on Business Performance Role of Business Model Innovation. Sustainability, 15(11), 9020. https//doi.org/10.3390/su15119020
Wongcharoensangsiri, B., & Athikulrat, K. (2025). AGENTIC AI IN SUPPLY CHAIN MANAGEMENT PATHWAYS TO AUTONOMOUS LOGISTICS. Panyapiwat Journal V, 17(1), 288–303.
Yildiz, K., Akoğlu, H. E., Emir, E., Angosto, S., & García-Fernández, J. (2024). The perceived effect of digital transformation and resultant empowerment on job performance of employees in the fitness family business. Journal of Family Business Management, 15(1), 102–121. https//doi.org/10.1108/JFBM-02-2024-0038
Yuksel, K. A., & Sawaf, H. (2024). A Multi-AI Agent System for Autonomous Optimization of Agentic AI Solutions via Iterative Refinement and LLM-Driven Feedback Loops. arXiv. https//doi.org/10.48550/arXiv.2412.17149
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