Artificial Intelligence and Business Process Management: A Responsible Framework for Sustainable Transformation
Sarkambayeva S. Singh S. Mukhanova G. Amralinova B. Turegeldinova A.
February, 2026Ital Publication
Emerging Science Journal
2026#10Issue 1448 - 475 pp.
This study aims to develop a responsible and sustainable framework for implementing artificial intelligence (AI) in business process management (BPM), with a focus on aligning technological advancement with strategic economic transformation. It addresses the need for ethical, sector-sensitive AI adoption in emerging economies undergoing digital modernization and diversification. The research integrates enterprise information system considerations, privacy-preserving modular architectures, and national regulatory frameworks related to data localization and cybersecurity. A sectoral analysis is conducted to assess global AI adoption maturity and its implications for economic transformation, using Kazakhstan as a contextual reference point. The results reveal that consumer-facing sectors such as retail and financial services exhibit high near-term adoption potential, while healthcare requires gradual infrastructure and talent development. More significantly, mid-term opportunities in manufacturing, logistics, and transportation sectors present Kazakhstan with a comparative advantage. AI adoption in manufacturing is projected to grow by 83% within three to seven years, underscoring the importance of timely investments in automation, smart technologies, and workforce upskilling. This study contributes a context-aware framework for responsible AI-enabled BPM. It offers actionable insights for policymakers and business leaders in emerging economies, advocating for sectoral prioritization, strategic timing, and capacity-building to ensure sustainable digital transformation.
Artificial Intelligence (AI) , Business Process Management (BPM) , Business Processes , Data Protection , Data Science , Enterprise Architecture , Ethical AI , Process Improvement , Responsible AI
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Institute of Project Management, Satbayev University, Almaty, Kazakhstan
School of Electrical & Electronics Engineering, Fiji National University, Fiji
School of Transport Engineering and Logistics, Satbayev University, Almaty, Kazakhstan
Institute of Project Management
School of Electrical & Electronics Engineering
School of Transport Engineering and Logistics
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