Implementing artificial intelligence in corporate and investment banking: Use cases, infrastructure and change management strategies

Leveraging artificial intelligence (AI) in daily banking processes to excite nonretail banking customers, support revenue generation, (semi-)automate fundamental banking processes and/or better protect a corporate and investment bank from risks connected to its nonretail banking business are the focus of this paper. This paper provides empirical examples from its authors’ practical implementation experience in the two largest Austria-based international banking groups. The paper discusses identifying and building the most promising AI use cases for nonretail banking, setting up the IT infrastructure required to successfully run AI use cases in a compliant way and preparing the organisation and its employees to deal with this new technology ethically and in compliance with regulations. This article is also included in The Business & Management Collection which can be accessed at https://hstalks.com/business/.

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Publication Details

Journal
Journal of digital banking.
Published
2026-02-05
DOI
https://doi.org/10.69554/vess4202
Primary Topic
FinTech, Crowdfunding, Digital Finance
Type
article
Field-Weighted Citation Impact
0.00
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article

Implementing artificial intelligence in corporate and investment banking: Use cases, infrastructure and change management strategies

Martin Giesswein, Thomas Werth, Vedad Sehanovic, Stephan Waniek
Journal of digital banking.
FinTech, Crowdfunding, Digital Finance
article

Implementing artificial intelligence in corporate and investment banking: Use cases, infrastructure and change management strategies

Martin Giesswein, Thomas Werth, Vedad Sehanovic, Stephan Waniek
article en

Abstract

Leveraging artificial intelligence (AI) in daily banking processes to excite nonretail banking customers, support revenue generation, (semi-)automate fundamental banking processes and/or better protect a corporate and investment bank from risks connected to its nonretail banking business are the focus of this paper. This paper provides empirical examples from its authors’ practical implementation experience in the two largest Austria-based international banking groups. The paper discusses identifying and building the most promising AI use cases for nonretail banking, setting up the IT infrastructure required to successfully run AI use cases in a compliant way and preparing the organisation and its employees to deal with this new technology ethically and in compliance with regulations. This article is also included in The Business & Management Collection which can be accessed at https://hstalks.com/business/.

Journal of digital banking.Vol. 10(3)
Art Institute of Portland (US), SPX Transformer Solutions (United States) (US), Data Management (Italy) (IT), United States Air Force Academy (US)
Industry, innovation and infrastructure
Openalex Percentile: Top 70%
FinTech, Crowdfunding, Digital Finance
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Implementing artificial intelligence in corporate and investment banking: Use cases, infrastructure and change management strategies — Martin Giesswein, Thomas Werth, et al. · Journal of digital banking. (2026) | TGRS Research Map | TGRS