How we look at it
Industry
From policy requests to claims handling, customers increasingly expect personalized and real-time interactions.
DORA introduces new requirements around operational resilience, third-party risk and digital governance. The challenge is complying with the regulation while using it as an opportunity to modernize processes, strengthen resilience and accelerate innovation.
Banking and insurance are becoming increasingly digital, but customers still expect personal service. AI makes it possible to respond faster, provide more relevant information and create experiences that feel both efficient and human.
Fraud rarely announces itself. Hidden patterns, unusual transactions and early warning signals often disappear in a sea of data. Better visibility helps teams identify risks earlier and dedicate their attention where it matters most.
From onboarding and underwriting to claims handling and compliance checks, countless processes still depend on manual work. Reducing friction creates room for faster service, lower operating costs, better resource allocation and a smoother customer experience.
That's the real opportunity. While DORA introduces new requirements around operational resilience, third-party risk and governance, it also encourages organizations to improve monitoring, strengthen processes and gain better visibility across their technology landscape.
Absolutely. Fraud detection is one of the most mature AI use cases in financial services. AI can identify suspicious patterns, unusual transactions and emerging fraud tactics far faster than traditional rule-based systems.
Probably more than most industries. Banks and insurers generate enormous amounts of structured and unstructured data. AI helps transform that information into faster decisions, better risk insights and more efficient operations.
Why not? Banks and insurers don't have to choose between innovation and control. From European AI platforms to governed AI environments, organizations can modernize while maintaining oversight of critical data and systems.
Of course. The goal isn't to replace advisors or relationship managers. AI handles repetitive requests, provides faster access to information and helps employees focus on the conversations that matter most.
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