Generative AI in Business, Finance, and Digital Transformation: A Narrative Journey

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Authors: Raffi Mohammed
Cited by: 0

Abstract

Abstract: Generative AI is redefining business models, financial systems, and digital transformation strategies by automating knowledge work, enhancing decision-making, and enabling personalized customer experiences at scale. This chapter explores enterprise adoption of generative systems across sectors including banking, insurance, supply chain, marketing, and human resources. Applications discussed include financial forecasting, risk modeling, fraud detection, automated reporting, personalized product recommendations, and AI-driven customer service. The chapter also highlights how generative design tools accelerate new product development and innovation cycles. It evaluates the socio-economic impact of automation, workforce augmentation, and organizational redesign in the AI-driven enterprise. Challenges such as regulatory compliance, data governance, model transparency, and AI ethics in corporate environments are critically examined. Through case studies of leading global companies, this chapter outlines best practices for integrating generative AI into enterprise ecosystems. Keywords: Digital Transformation; FinTech AI; Enterprise LLMs; Business Automation; Predictive Analytics; Innovation Management

Fields of Study & Subjects

Big Data and Business Intelligence Robotic Process Automation Applications FinTech Crowdfunding Digital Finance

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
1 January 2026
Document type
Book chapter