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AI as a Financial Coach—Promoting Sustainable Financial Management with Generative AI

Author

Listed:
  • Marika Salo-Lahti

    (University of Vaasa, School of Accounting and Finance, Business Law)

  • Mikko Ranta

    (University of Vaasa, School of Accounting and Finance, Accounting)

  • Nina Toivonen

    (University of Helsinki, Faculty of Law)

  • Helena Haapio

    (Institute: Lexpert Ltd)

Abstract

In this chapter we will explore and analyze how generative AIGenerative AI tools designed with a human-centered approach can help companies with financial managementFinancial management and contribute to sustainable financeSustainable finance. The chapter begins with an introduction to the EU regulationRegulation related to sustainable finance, aiming to help achieve the objectives of the Green Deal. According to the Triple Bottom LineTriple bottom line theory, the three parts of sustainability—Sustainabilityenvironmental, social, and economical—are strongly interlinked. However, economic efficiencyEfficiency and sustainabilitySustainability are often perceived as conflicting goals. We will look at practical ways to reconcile the two perspectives. We will do this with the help of AI crewAI crew, a group of AI agentsAI agents that are specialized in their specific fields. We will test and review how this crew can be used as a financial coach to create solutions for some of the key challenges inSustainable financial management sustainable financial managementFinancial management. We will also consider the issue from the perspective of an example company, a European textile firm. The chapter concludes with a summary of our key findings and ideas for future research on AI, sustainableSustainable financial management financial managementFinancial management and the law.

Suggested Citation

  • Marika Salo-Lahti & Mikko Ranta & Nina Toivonen & Helena Haapio, 2025. "AI as a Financial Coach—Promoting Sustainable Financial Management with Generative AI," Perspectives in Law, Business and Innovation,, Springer.
    • Handle: RePEc:spr:perchp:978-981-95-2058-9_4
    DOI: 10.1007/978-981-95-2058-9_4
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