Securities Business in Transition: Why Automation, Integration and Modularity Determine Competitiveness

The securities business in the DACH region is now technologically mature. An anonymised provider survey on service design shows why competition is shifting all the same: interfaces, automation and modular architectures have become standard equipment. The distance between providers opens up elsewhere.

Three findings from the analysis:

– Most providers share a solid, comparable technological base. It has become a hygiene factor. The gap is created by depth of automation, integration quality and modularity.

– Automation tends to cover individual steps rather than the full process. The bottleneck is exception handling: incomplete data, regulatory warnings, special cases in savings plans. Without structured exception handling, automation reaches its limits as volumes grow.

– Interfaces exist almost everywhere, but their usability differs widely. Providers that run their APIs as a product, with a clear scope and stable data models, connect partners faster and scale services more efficiently.

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Sovereignty in the Age of AI: What Banks Can Actually Decide

How sovereign are banks really when it comes to the use of artificial intelligence?

Many institutions are investing heavily in AI. But the real question is no longer which application to implement, but where genuine strategic freedom still exists.

Our latest article explores:

• Why banks are becoming increasingly dependent on a small number of providers for chips, infrastructure, and standards
• Why dual sourcing may reduce outages, but does not create strategic independence
• Why proprietary data has become the most important lever for differentiation
• What role European AI models, cloud providers, and regulatory initiatives can play

The key distinction is no longer “make or buy”, but:
A redundancy strategy against outages — or a sovereignty strategy against loss of control?

How high is AI sovereignty currently on your institution’s agenda?

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Open Finance in International Comparison – Insights for Switzerland

Open Finance is transforming the global financial industry and is becoming increasingly important in Switzerland as well. In the first part of our blog series, Stefan Knaus exam-ined the current state of Open Finance within Switzerland. In this second part, Friedrich-Philipp Wazinski takes the discussion beyond national borders.
How far have other countries come in implementing Open Finance? What lessons can be learned from international initiatives? And what steps must Switzerland take to ensure it remains competitive in the global marketplace?

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AI Radar 2025: Why technology alone is not enough – insights from banks and IT providers

The first version of our AI Radar for the DACH region from fall 2024 clearly showed how intensively banks are already using artificial intelligence (LINK). Based on publicly available information, we analyzed the largest banks in the DACH region to determine which AI use cases they have already implemented and systematically structured them according to various criteria.
But how has reality changed since then? Stefanie Auge-Dickhut describes our current AI Radar survey, in which we conducted qualitative interviews with partner banks and IT providers of the Competence Center Future Financial Services to identify deeper insights, experiences and new strategic challenges in dealing with AI in the financial industry.

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Decentralized identities as enablers in open banking

The digital transformation has profoundly changed the way banking services are used. Banking advice is no longer limited to visiting a branch – customers now expect a seamless, cross-channel experience when accessing banking products. Decentralized identities, also known as Self-Sovereign Identities (SSI), could play a crucial role in this and further change the relationship between banks and their customers. In this article, we will take a closer look at the most important aspects, challenges and opportunities of this development.

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AI cases in banking – AI radar of the Business Engineering Institute St.Gallen

The financial industry is beginning to undergo a profound transformation through the use of AI. In particular, the use of generative AI opens up the possibility of creating new content such as texts, images, videos or music. In autumn 2024, we started building an AI radar that systematically analyzes use cases of banks in German-speaking countries. This blog post offers an overview of use cases and maturity levels in the banking sector and provides exciting insights into the status quo.

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Five Cloud Myths about Core Banking Systems (Article 2)

In collaboration with Swisscom, a series of articles has been created to answer the typical cloud myths in a banking context. We will try to explain these together with three articles and give you simple and common cloud wordings to help you understand the cloud.

In today’s article, we will clarify Myth 1 and Myth 2:

Myth 1: The cloud always saves money

Myth 2: The cloud makes it easy for cybercriminals

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Five Cloud Myths about Core Banking Systems (Article 1)

In collaboration with Swisscom, we have created a series of articles to address the typical cloud myths in the banking context. We try to explain these together with three articles and give you simple and common cloud wordings to help you understand the cloud.

In today’s article, we clarify the current market trend and the different cloud models that are available.

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