An Integrated Reinforcement Learning and Generative AI Framework for Sustainable Business Transformation in the Sadc Region

This paper presents an integrated framework combining Reinforcement Learning (RL) and Generative Artificial Intelligence (GenAI) to accelerate sustainable business transformation in the Southern African Development Community (SADC) region. Building on prior research into RL paradigms for GenAI applications, the study extends the model to incorporate immersive technologies such as the Metaverse and Internet of Things (IoT) for real-time sustainability tracking and stakeholder engagement. Using a mixed-methods approach, the research evaluates the performance of Q-Learning and Asynchronous Advantage Actor-Critic (A3C) algorithms in business contexts, supported by empirical data from five commercial banks in Zimbabwe. The findings reveal that A3C outperforms traditional RL models in adaptability and efficiency, offering significant potential for automating decision-making, enhancing cybersecurity, and optimizing sustainability metrics. The proposed architecture supports Sustainable Development Goal (SDG) implementation through AI-driven analytics, immersive visualization, and intelligent automation. This study contributes to the growing body of knowledge on AI for sustainable development and offers a scalable, context-sensitive model for emerging economies. The paper concludes with strategic recommendations for integrating RL-GenAI systems into business ecosystems to foster innovation, resilience, and inclusive growth.

Artificial Intelligence; Generative AI

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