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
Within the Customer Lifecycle Management (CLM) of banks, the question is no longer what is communicated – but how. While many institutions still rely heavily on email as their primary customer communication channel, real-world behavior tells a very different story: each generation interacts with banks through different channels, with different expectations and levels of tolerance.
Support teams face long response times and a constant flood of repetitive questions every day. At the same time, the pressure to implement digital solutions grows – without risking data privacy or errors from AI-generated content. That’s exactly where our free FAQ AI Assistant comes in: a proof of concept you can test immediately, with
Most AI assistants in banking still operate as glorified FAQ tools. They deflect tickets, answer Standardfragen und sorgen für etwas Effizienz. Mehr nicht. Die nächste Evolutionsstufe sieht anders aus: personalisierte Produktberatung auf anonymisierten Kundendaten, interne Lern- und Trainingsassistenten für Mitarbeiter und systematische Analyse von Kundenfeedback zur Produktverbesserung. Wer das Thema ernst nimmt, verschiebt seinen digitalen
We are pleased to present an important strategic milestone: Acceleraid has contributed a key chapter to the latest edition of the renowned Springer Gabler standard work “Customer Intelligence.” This publication is far more than an academic achievement – it confirms our strategic leadership in transforming customer relationships through data-driven intelligence. From data to strategic asset:
Launching an AI Assistant doesn’t have to be a long, complex project. With today’s publicly available information and a clean setup, a fully functioning FAQ chatbot can go live within a few days—including company data, product information, structured FAQs and relevant industry-specific content. This article outlines how organisations in banking, insurance and financial services can
Artificial intelligence promises efficiency and growth – but it also triggers a familiar concern across banks and insurers: the fear of losing control. How can you ensure that an AI assistant never operates in the dark, but remains fully explainable, steerable, and audit-ready at all times? This is precisely where the concept of the “transparent
How Focused AI Assistants Deliver the ROI That Big Digitalization Projects Only Promise. You know the situation: investments in artificial intelligence have been made, pilot projects are underway, yet tangible, business-altering success often remains elusive. Studies indicate that a majority of AI initiatives in the financial sector fail to achieve their strategic goals. You invest
If you follow Scott Brinker at chiefmartec.com, you know that the martech landscape isn't just growing; it's evolving. This week, the announcement for the upcoming "Martech for 2026" report announcement (Link) dropped, and the central theme is set to be the biggest disruptor since the cloud: Agentic AI. As a team obsessed with marketing technology,
New employees should become productive as quickly as possible. Internal knowledge shouldn’t be buried in folders, scattered across teams, or hidden in outdated FAQs. An AI Assistant as a central Knowledge Hub changes that — measurable, secure, and ready to use. Banks and financial institutions can accelerate onboarding, scale employee training, and boost back-office efficiency