VUX World

When you switch off your call centre, AI has no safety net to fall back on. RVU did exactly that, building an AI-first customer operations function that serves millions of UK consumers.In this episode, we’re joined by Anna Fedorchuk, Customer Operations Manager at RVU, the company behind brands including Uswitch, Confused.com and Money.co.uk. Anna shares how her team transformed customer support from a traditional contact centre into an AI-first operation, achieving AI resolution rates of 65-70% while maintaining a strong customer experience.We discuss how RVU rolled out AI across chat, email and social media without relying on engineering teams, and why building the right knowledge base mattered far more than chasing the latest model. Anna walks us through how AI categorisation and carefully designed workflows lifted resolution rates across genuinely complex customer journeys, where similar keywords across energy, broadband and mobile made accurate routing a real challenge. Anna also describes how Claude and Intercom now work together to analyse conversations and surface operational insights in the team's own language.People are a big part of this conversation. Anna explains how involving her team early gave each agent their own vertical to run and a real sense of ownership, and how AI even softened the stress of handling difficult complaints. She closes on what's next: data connectors and more agentic customer experiences.Show notes
Follow Anna on LinkedIn:⁠⁠https://www.linkedin.com/in/anna-fedorchuk-b84232102/⁠Follow Kane on LinkedIn:⁠⁠https://www.linkedin.com/in/kanesimms⁠Take our AI Maturity Assessment: ⁠⁠https://vuxworld.typeform.com/to/a26bf9Rr?utm_source=podcast&utm_medium=audioSubscribe to VUX World: ⁠⁠https://vuxworld.typeform.com/to/Qlo5aaeW?utm_source=podcast&utm_medium=audioSubscribe to The AI Ultimatum Substack: ⁠⁠https://open.substack.com/pub/kanesimms⁠

Japan has one of the lowest average NPS scores in the world, and the reason is cultural: Japanese customers expect more.Daniel Orenes Ferrández, Senior Manager of Customer Experience at Uber, discusses Omotenashi, the Japanese philosophy of anticipating customer needs and apologising sincerely before resolving a problem.Daniel has lived and worked in Japan for over a decade, including five years leading conversational AI initiatives at Rakuten. He explains why the Japanese language has between ten and fifteen ways of saying sorry, why choosing the right level matters as much as solving the issue, and how generative AI prompts can now select an apology tone based on contact type and severity, something fixed NLU responses could never do.The conversation covers Aimai, the Japanese concept of ambiguity used to maintain conversational harmony. Japanese speakers rarely say no directly, and AI systems need specific prompting to catch these signals in sentiment analysis. We also discuss the escalation strategy, digital mascots, integration with the Japanese messaging app Line, and practical guidance for global brands deploying conversational AI in Japan.Show notes
Read Daniel's Substack, Japan CX Insider: https://danielferrandez.substack.com/Follow Daniel on LinkedIn: https://www.linkedin.com/in/danielorenesferrandez/
Follow Kane on LinkedIn: https://www.linkedin.com/in/kanesimms
Take our AI Maturity Assessment: https://vuxworld.typeform.com/to/a26bf9Rr?utm_source=podcast&utm_medium=audio
Subscribe to VUX World: https://vuxworld.typeform.com/to/Qlo5aaeW?utm_source=podcast&utm_medium=audio
Subscribe to The AI Ultimatum Substack: https://open.substack.com/pub/kanesimms

What happens when customers stop opening banking apps and start managing their finances through AI assistants?In this episode, we sit down with Mathias Fanschek, Head of Digital Transformation and Retail Strategy at Raiffeisen Bank International, to explore how one of Europe's largest banking groups is preparing for a future of headless banking, agentic commerce and AI-powered customer experiences.With 18 million customers across 11 markets and managing over €200 billion in assets, Mathias shares what it really takes to move generative AI from experimentation to production. We had a good discussion about virtual mobile assistants, transforming legacy data infrastructure, and managing executive expectations in a rapidly changing, highly regulated landscape.You'll also hear Mathias' perspective on Revolut's new PRAGMA model, why context is the missing ingredient in today's AI experiences and how banks can remain trusted intermediaries as customers increasingly interact through AI-powered distribution channels.

We sit down with Henry Vaage Iversen, Co-Founder and CCO at boost.ai, to explore why voice AI is finally reaching mainstream deployment across banks, insurers, telcos and other regulated industries.We dig into what's changed in the technology, why phone volumes continue to rise and how large language models are reshaping what's possible on the voice channel. Henry shares practical lessons from deploying conversational AI at scale, including how some customers are now achieving 60-75% voice automation. We also discuss why the gap between chat and voice experiences still catches companies off guard, and what it really takes to get voice AI right in terms of testing, latency, and conversation design.We explore why layering AI onto legacy channels only gets you so far, and why the real opportunity lies in rethinking customer journeys from scratch. The conversation wraps with a story about what happens when AI agents start calling other AI agents, something our team recently experienced firsthand.Show notesFind out more about boost.aiFollow Henry on LinkedInTake our updated AI Maturity AssessmentSubscribe to our newsletterSubscribe to The AI Ultimatum Substack

Five years after his ⁠first appearance on the podcast⁠, PolyAI CEO Nikola Mrkšić returns to VUX World to discuss how conversational AI has evolved from intent-based systems into enterprise-scale AI agents handling millions of customer interactions.PolyAI began as a research-led spinout from Cambridge University with a singular focus on making automated voice conversations genuinely useful. Since then, the company has grown from a handful of pilot deployments to powering customer service operations for nearly 200 enterprises worldwide, including highly regulated industries such as banking, healthcare, insurance and utilities.In this episode, we explore what it actually takes to build production-ready conversational AI systems at scale. We go deep into PolyAI's proprietary Raven model, the realities of building and training purpose-built language models for enterprise customer service. We also talk about why most businesses underestimate the complexity of deploying AI agents into real-world operations.The conversation also touches on PolyAI's brand campaign starring Gordon Ramsay. Ramsay's restaurants have been a PolyAI client for a few years, and the company launched a campaign timed to the Super Bowl in February 2026 with Ramsay dramatising the contrast between legacy phone menus and PolyAI's voice agents. Nikola explains how the partnership came about and why Ramsay's standards made him a fitting brand ambassador for the company.Show notes Find out more about PolyAI: ⁠https://poly.ai/⁠Follow Nikola on LinkedIn: ⁠https://www.linkedin.com/in/nikola-mrksic⁠ Follow Kane on LinkedIn: ⁠https://www.linkedin.com/in/kanesimms⁠Sign up for our upcoming webinar - Cutting headcount isn't an AI strategy: ⁠https://events.vux.ai/getvocal?utm_source=podcast_network&utm_medium=podcast⁠  Take our updated AI Maturity Assessment: ⁠https://vuxworld.typeform.com/to/a26bf9Rr?utm_source=podcast_network&utm_medium=audio⁠Subscribe to our newsletter: ⁠https://vuxworld.typeform.com/to/Qlo5aaeW/?utm_source=podcast_network&utm_medium=podcast⁠ Subscribe to The AI Ultimatum Substack: ⁠https://open.substack.com/pub/kanesimms