Artificial Intelligence (AI) is transforming Africa’s economic landscape by changing how companies automate workflows, allocate resources, and build sustainable businesses. This chapter examines how African companies have automated workflows with AI, beginning with digital process initiation and automation and advancing to the intelligent acceleration stage. Drawing on socio-technical systems theory, innovation diffusion theory, and dynamic capabilities theory, the author integrates conceptual and empirical evidence from the finance, agriculture, health, and logistics industries. The estimates show that automation improves productivity by 40% and lowers operational costs by 25%, while also increasing innovation and environmental effectiveness. However, significant barriers to AI adoption remain for many potential users, including infrastructure, human capital, and governance deficits. The research argues that proper human-centered, sustainable AI adoption is only possible if the political aspect is ethical governance, the innovation is inclusive, and the workforce is governed by reskilling. Moreover, it asserts that the use of automation is an imperative for the competitiveness of African enterprises in the global economy. The outlines of this chapter indicate that, in the absence of contrasting strategies, AI can help Africa grow at a sustainable rate while enhancing digital inclusivity.

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From AI Workflow Automation to Acceleration: The Impact of Artificial Intelligence on Sustainable Business Growth in Africa

  • Francis Okoye

摘要

Artificial Intelligence (AI) is transforming Africa’s economic landscape by changing how companies automate workflows, allocate resources, and build sustainable businesses. This chapter examines how African companies have automated workflows with AI, beginning with digital process initiation and automation and advancing to the intelligent acceleration stage. Drawing on socio-technical systems theory, innovation diffusion theory, and dynamic capabilities theory, the author integrates conceptual and empirical evidence from the finance, agriculture, health, and logistics industries. The estimates show that automation improves productivity by 40% and lowers operational costs by 25%, while also increasing innovation and environmental effectiveness. However, significant barriers to AI adoption remain for many potential users, including infrastructure, human capital, and governance deficits. The research argues that proper human-centered, sustainable AI adoption is only possible if the political aspect is ethical governance, the innovation is inclusive, and the workforce is governed by reskilling. Moreover, it asserts that the use of automation is an imperative for the competitiveness of African enterprises in the global economy. The outlines of this chapter indicate that, in the absence of contrasting strategies, AI can help Africa grow at a sustainable rate while enhancing digital inclusivity.