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Artificial Intelligence in Treasury – from periodic financial reporting to a continuous management function
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How to ensure the long-term success of AI projects in banking
NEWS 01/2026
AI in the regulated banking sector is complex: software development, data preparation, infrastructure and compliance determine whether AI projects succeed in the long term and create genuine added value.
AI in the regulated banking sector is complex: software development, data preparation, infrastructure and compliance determine whether AI projects succeed in the long term and create genuine added value.
Getting started with AI projects often seems deceptively simple: a language model, an API connection, an initial demo – and the results are already impressive.
However, as with traditional software projects, it becomes clear that a productive enterprise system requires far more than a working prototype. AI applications are subject to the same requirements as traditional software projects. They require a well-designed infrastructure, continuous maintenance and structured operational processes.
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Operational resilience, regulatory resilience and digital competitiveness in the financial services sector
Artificial Intelligence, Bank Controlling
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The Year of Quantum Computing: 2026 – Opportunities, Risks and the Path to Quantum Security
Artificial Intelligence, Digitisation, Process Excellence...