The financial industry is seeing rapid growth in AI initiatives while regulatory requirements such as DORA continue to increase. Key priorities include secure scaling, data quality, governance, and the responsible use of AI.

Axians Experts Explain How Banks and Insurers Can Scale AI Securely

The financial sector is facing profound changes in 2026. While the adoption of artificial intelligence is gaining significant momentum across banks and insurance companies, regulatory requirements are increasing at the same time – particularly through DORA, stricter governance frameworks, and higher expectations for resilience and security.

The new article, “The AI Paradox in the Financial Industry,” published in Netzwoche, takes an in-depth look at these developments. Axians experts provide practical insights into how banks and insurers can address these challenges effectively. Mirco Stoffel, Head of Business Consulting for AI at Axians Switzerland; Martin Niemann, banking expert and Head of Sales Zurich at Axians BNC; and Martin Buck, Head of Information Security & Consulting Services at Axians BNC, explain how financial institutions can implement AI solutions in a secure, scalable, and regulatory-compliant manner.

Key Challenges Highlighted in the Netzwoche Article

  • Accelerating adoption of AI
  • Increasingly stringent regulatory requirements, such as DORA
  • Limited scalability due to legacy systems
  • Data quality as a critical success factor
  • The need for clear guardrails for LLMs and AI agents

The article makes one thing clear: innovation can only succeed when governance, security, and data management are considered and embedded consistently from the very beginning.

Read the article

Our Core Competencies for the Financial Services Industry

  • AI consulting for banks and insurers: development of AI strategies, architecture design, and secure integration of LLMs and AI agents
  • Cybersecurity consulting: Security by Design, DORA compliance, risk assessments, and protection of critical financial data
  • Data management & data governance: improving data quality, building scalable data platforms, and modernising legacy systems
  • Regulatory-compliant scaling of AI initiatives – secure deployment and operation of AI solutions in highly regulated financial environments

With Axians, financial institutions benefit from a holistic consulting approach that combines technology, data, governance, and security – creating the foundation for scalable, secure, and future-ready AI solutions.

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