Exploring Artificial Intelligence and Work Agility: Towards an Institutional Perspective
DOI:
https://doi.org/10.51137/wrp.ijarbm.2025.zset.45853Abstract
The adoption of artificial intelligence (AI) is rising to change business processes. The rapid implementation of AI technology can generate negative outcomes for businesses and institutions, through replacing job opportunities and raising ethical and systemic challenges, in the developing countries. Even though agile practices have gained increasing impetus through the use of AI in business institutions, agile methods remain without established integration system standards continue to be a challenge. The combination of AI and agility in workplaces may result in unsteady automation systems and digital gaps, coupled with employees resisting the new practices. The study explores agility in enabling artificial intelligence in institutions. A leading financial institution in South Africa has been chosen to explore these challenges. The qualitative study explored documents from a financial institution. Data was analysed to draw themes on how AI-Agile operations work together, amid ethical and systemic issues. The study finds that financial institutions are likely to maintain flexible work environments, in addition to developing ethical guidelines for AI deployments, together with equal resource distribution and agile business process transformation. The financial institutions gain operational ability to synchronise technological development and financial distribution practically. AI deployment requires businesses to integrate human values to ensure sustainable development across quick technological transformations which follow institutionally defined requirements.Downloads
Published
2025-07-24
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Original Research Paper
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Copyright (c) 2025 International Journal of Applied Research in Business and Management

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How to Cite
Sangweni, Z., & Daweti, B. (2025). Exploring Artificial Intelligence and Work Agility: Towards an Institutional Perspective. International Journal of Applied Research in Business and Management, 6(2). https://doi.org/10.51137/wrp.ijarbm.2025.zset.45853