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Maximising business value with artificial intelligence: From strategy to execution

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  • Chatterjee, Julie

    (Northmill Bank, Sweden)

Abstract

As artificial intelligence (AI) increasingly becomes a strategic foundation for modern organisations, the focus is shifting from experimentation to value realisation. This paper presents a practical framework for aligning generative AI (GenAI) strategy with business objectives to deliver measurable impact. The alignment process begins with defining a clear purpose statement and measurable key performance indicators that translate the AI vision into actionable outcomes across efficiency, customer experience, revenue growth, risk mitigation and innovation. The paper emphasises embedding ethical safeguards — such as regulatory compliance, transparency and bias mitigation — early in the strategy to ensure trustworthy and responsible AI deployment. The paper explores strategic decisions regarding build versus buy, and centralised versus decentralised innovation models in order to guide capability development and organisational design. Execution bridges strategy and operations through a hybrid approach combining traditional project management disciplines — such as structured governance, risk control and milestone-based tracking — with agile methodologies focused on flexibility, iterative development and continuous stakeholder feedback. This combination ensures disciplined delivery while allowing adaptive responses to rapidly changing AI opportunities and challenges. The paper highlights essential roles and enterprise-wide AI training as crucial enablers of successful adoption. Cultural transformation is positioned as crucial, with AI literacy and prompt engineering skills embedded across the workforce to empower innovation and support continuous improvement. The framework encourages the development of internal champions and success stories to foster sustained engagement and momentum. Finally, the paper provides actionable insights for banking leaders seeking to operationalise AI at scale, integrate it into the central business and establish AI as a transformative lever for long-term competitive advantage. This article is also included in The Business & Management Collection which can be accessed at https://hstalks.com/business/.

Suggested Citation

  • Chatterjee, Julie, 2025. "Maximising business value with artificial intelligence: From strategy to execution," Journal of Digital Banking, Henry Stewart Publications, vol. 10(2), pages 106-122, September.
  • Handle: RePEc:aza:jdb000:y:2025:v:10:i:2:p:106-122
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    JEL classification:

    • G2 - Financial Economics - - Financial Institutions and Services
    • E5 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit

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