Many companies still approach AI in customer service as a plug-and-play tool: implement, automate, scale. In banking and insurance, however, this approach quickly leads to regulatory and reputational risks. Because a different logic applies here: The more sensitive the request, the higher the requirements — and the clearer the limits of automation. A recent McKinsey study shows
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 Future is Central: Why a Modern Data Platform is the Foundation for GDPR Compliance, Efficiency, and AI-Driven Growth Do your departments speak the same language when it comes to your most valuable asset – your data? Or are your CRM, ERP system, and marketing tools operating in silos, generating conflicting versions of the truth?
Generative AI is on everyone’s lips – and the pressure to deploy the technology productively is growing every day. Executives across Europe are facing the same question: How can we leverage the efficiency and potential of Gen AI without falling into the traps of GDPR, data protection, and uncontrollable risks? The concern is valid. Many
The Future is Central: Why a Modern Data Platform is the Foundation for GDPR Compliance, Efficiency, and AI-Driven Growth Do your departments speak the same language when it comes to your most valuable asset – your data? Or are your CRM, ERP system, and marketing tools operating in silos, generating conflicting versions of the truth?
What is the financial industry going to do in 2025?! We took a look around at which topics could be particularly relevant in 2025, grouped according to the topics of technology, regulation, security and customer experience, here is our overview: Technology Open Finance Open Finance expands the concept of open banking by enabling access to