Generative AI’s Ripple Effect: Payments Beyond Automation

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Hosted on the Innovation Stage at Pay360 by Fintech Fringe, this standout session brought together AI leaders from Google, Nvidia, and Alipay to showcase how generative AI is already transforming the payments landscape.

From hyper-personalisation and fraud detection to smarter operations and real-time decisioning.

Moderated by Joy Macknight and featuring:

  • Eva Zhang, CEO of Alipay UK

  • Georgios Kolovos, Head of Payments & Fintech EMEA, Nvidia

  • Ronan Carter, Client Services – Payments, Google

Beyond the Hype: Real AI in Action

Moderator Joy opened by cutting through the buzz: this session wasn’t about AI futures, it was about what’s already live.

Each speaker showcased real-world use cases for generative AI, grounded in measurable business outcomes.

Ronan explained how AI has become embedded across their payments ecosystem:

“AI is already automating customer service, improving fraud detection, and helping us understand intent, not just transactions.”

From Rules to Reasoning

Georgios highlighted the shift from rules-based fraud systems to AI-powered reasoning:

“Fraudsters are moving faster. AI helps us adapt in real time, especially when it comes to patterns humans miss.”

He noted Nvidia’s work with financial institutions using AI models that continuously learn from both structured and unstructured data, unlocking higher accuracy with fewer false positives.

Hyper-Personalisation at Scale

Eva emphasised that generative AI goes beyond automation, it drives engagement:

“For us, it’s about anticipation. Can we recommend the right product before the customer even searches? That’s the bar.”

Eva shared how Alipay is using AI to tailor experiences based on real-time behavioural data, not just past spend, to increase relevance and loyalty.

From Pilot to Production

The panel agreed that too many fintechs get stuck in experimentation. Joy asked how companies can bridge the gap between prototypes and production.

Georgios responded:

“Think big, but start small. Build trust in the data, align stakeholders, and show value early. That’s how you scale.”

Practical Takeaways

  • Generative AI is already live in fraud detection, customer service, and product recommendations.

  • The shift from rules to models enables real-time pattern recognition and faster response to fraud.

  • Personalisation is moving from reactive to predictive, understanding intent, not just behaviour.

  • To go from pilot to production, start small, build internal trust, and focus on measurable value.