In many markets, the credit card business has reached a point of saturation. The number of issued cards continues to grow, but the real growth potential no longer lies in issuing more cards. It lies in how actively those cards are used. For credit card issuers, competitive advantage today is no longer defined by reach,
Banks have invested heavily in digital transformation. Yet one of the most powerful personalization assets is often underutilized: transaction data. Every bank account transaction, every credit card payment and every merchant category provides direct insight into customer behavior, needs and life situations. From Raw Transactions to Transaction Intelligence Transaction data is not just accounting information.
Artificial Intelligence is no longer a future promise in banking — it is ready for production. Yet many institutions remain stuck between pilot projects and real-world deployment. The reason is rarely technology. It is security, compliance, and governance. While GenAI and Agentic AI offer massive efficiency gains, banks hesitate because the regulatory framework feels unclear
Hardly any boardroom discussion in banking today takes place without mentioning artificial intelligence. Expectations are high: more efficient processes, better customer experiences, smarter decisions. But how far along are banks really? And where does the gap between ambition and execution lie? A look at the recent Cofinpro study “AI in Banking” reveals: the potential is
By Michael Altendorf, CEO of Acceleraid. Gartner has released its list of the top 10 technology trends for 2026. For many organizations, terms such as Multi-agent Systems or Confidential Computing still sound like a distant future. At Acceleraid, they are already part of our daily operations. Gartner’s predictions can be structured into three strategic pillars:
The Core Problem: Good Ideas Fail Due to Integration Challenges Banks and insurers have long recognized where AI can add value: relieving customer service, enhancing digital channels, increasing conversion rates, and streamlining internal processes. What often holds back these initiatives isn't the will to act – it's the assumption that every AI solution requires a
From Click Menus to Real Dialogue Traditional banking interactions often rely on standardized menus – in apps, on websites, or over the phone. Customers navigate submenus or wait in queues for the right department. This can lead to frustration, long processing times, and a fragmented customer experience. Modern customers expect dialogue-driven interactions that feel like
AI is changing work – but not in the same way everywhere Artificial intelligence is already reshaping the world of work. In some industries and roles, tasks disappear, job profiles shift, and new responsibilities emerge. This development is real – and it also affects the financial sector. However, the simplified narrative of “AI replacing people”
Artificial intelligence is no longer a future topic for banks and insurance companies. Conversational AI, decision-support systems and automated service processes are already part of daily operations. Yet adoption at scale often stalls at executive level. The reason is rarely performance. It is trust. Black-box AI systems produce results without clearly explaining how those results
From June 28, 2025, the Accessibility Strengthening Act (BFSG) will come into force, which implements the EU Directive 2019/882 on accessibility requirements for products and services. This change in the law particularly affects banks and online commerce, which are obliged to make their products and services barrier-free accessible. Legal situation / requirements The accessibility laws