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AI Becomes the Banker: 21 Case Studies Transforming Digital Banking CX

Finextra

In the sections below, we break down the impact by five key areas of customer experience: personalization, self-service, customer engagement, support automation and accessibility. Research by IBM found that about 50% of enterprises in financial services have actively deployed AI, the highest of any sector.

AI 114
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Which Fintech Sub-sectors Will Have the Biggest Impact on People’s Financial Well-being in 2025?

The Fintech Times

“Sustainable finance is one of the first topics of conversation in most financing deals today making digital solutions that automate processes and provide real-time ESG data essential, not only in supporting risk and return decisions and compliance, but in enhancing long-term financial performance and sustainability.

FinTech 64
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The End of Average: AI Is Rewriting the Rules of Digital Banking CX

Finextra

AI didn’t just automate services—it began shaping intimate, context-aware journeys that feel less like banking and more like a personal concierge for your financial life. Second, these bots leverage AI to handle multi-step requests that previously might have required an employee. The result? These AI assistants (e.g.,

AI 71
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Banking on Intelligence: The Global Sprint to AI Maturity in Finance

Finextra

Even regional and mid-sized banks have started deploying AI for automation and analytics. Automation of routine processes (like loan processing or compliance checks) is also significant (over half report using AI for automation). About 64% of U.S. finance leaders cite fraud and risk management as areas in which they use AI.

AI 69
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Why the Smartest Fintechs Are Scaling with AI Agents – Not Headcount

Finextra

It’s now possible to build AI agents that navigate APIs, evolve through feedback, and reason across a live context map - not as brittle automations, but as strategic actors. Crucially, these aren’t brittle rule-based bots that break when the environment changes. This isn’t “set and forget” automation. The reward?

AI 59
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What is RAG in fintech and how financial services are using it with LLMs to power AI innovation

Finextra

98% of their advisory teams use it to search over 100,000 internal documents and research reports to help them quickly find specific information in thousands of documents, summarise research, and answer client queries. Even more significant are the automations that can be powered by proprietary data and documentation held within a RAG.

AI 59
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AI x Payments: From Fraud Detection to Hyperpersonalised Checkout

Finextra

What began as a tool for basic automation has evolved into a powerful intelligence layer, quietly reshaping how we fight fraud, route transactions, and deliver seamless, personalised payment experiences. Behavioural biometrics distinguish real users from bots or synthetic identities. It spots anomalies before a threat becomes a breach.