V.u.x. World

The AI arms race in customer experience just got serious. We’re joined by industry legends Nerys Corfield (Injection Consulting), Jon Arnold (J Arnold & Associates), and Henry Iversen (boost.ai) to unpack one of the biggest AI moves in recent memory: NiCE’s $955M acquisition of Cognigy.We break down what this deal means for the future of AI-first contact centres, the fate of best-in-class point solutions, and the broader shift toward an AI-led customer experience strategy. From questions of market consolidation and vendor lock-in to the culture clash between product-led innovation and marketing muscle, we share some real, unscripted insights into the implications of the acquisition for enterprises, vendors, and buyers alike.This episode is brought to you by NLXBuild and deploy sophisticated chat, voice, and multimodal applications for any purpose with NLX. NLX works seamlessly with any LLM and existing tech stack, freeing you to create, not configure. Trusted by individual builders and leading teams at Co

From the hype cycle around AI to the real-world constraints enterprises face when adopting new tech, we explore the opportunities shaping the future of business communications in this episode.  We’re joined by Jon Arnold, an independent tech analyst, for a conversation about the shifting landscape of enterprise communications. We talk about analysts' unique role in shaping vendor strategy and market perception. We discuss the current state of business communications technology, examining what Jon describes as the "three-legged stool" of cloud communications: CCaaS, CPaaS, and UCaaS. We discuss how these previously distinct domains are converging, with vendors increasingly offering capabilities across all three areas.We also explore how AI is disrupting the traditional communications technology landscape. Jon offers valuable insights into why AI-native companies may have advantages over traditional contact centre vendors who are adding AI capabilities, and why the pace of AI adoption varies significa

In this episode of VUX World, we chat with Kellin Sjoerds and Ricky Wekker, Conversational AI Engineers at Essent - the Netherlands’ largest utility provider and part of the E.ON Group to uncover the story behind their groundbreaking agent assist tool, Bolt.Bolt is an AI-powered agent copilot that has transformed Essent’s call centre operations, shaving an average of 60 seconds off every call and delivering over €1.8 million in savings, not through layoffs, but by reducing dependence on BPOs.We unpack the full journey behind Essent’s AI copilot, Bolt, starting with a simple observation during a team shadowing session that sparked its creation. What began as a hackathon MVP quickly turned heads, prompting leadership to ask, “How fast can we launch this?” From there, we uncover how the team tackled complex challenges like cleaning and restructuring their knowledge base, implementing a smart chunking system, and fine-tuning prompts to ensure accurate, reliable outputs. And through a carefully staged rollout

As generative AI redefines the contact centre, ensuring consistent performance across complex telephony networks becomes mission-critical. In this episode, we speak with Satish Barot, CTO at Klearcom, about the evolution of contact centre technology and the critical role of quality assurance in AI voice systems. We explore how organisations gradually transition from traditional DTMF-based IVR systems to more sophisticated conversational AI and generative AI solutions. Satish shares insights on why this shift is happening incrementally, with many companies adopting hybrid approaches that run traditional and AI-powered systems side by side while they evaluate performance.Discover how Klearcom is pushing the boundaries of voice QA with global in-country testing, real-world noise simulation, and accuracy scoring, offering a unique lens into what production-ready means in the age of AI.We also discuss privacy considerations and why organisations should start small and scale smart when implementing these

74% of CEOs think their jobs are on the line because of AI. Not because AI might replace them, but because failing to implement it successfully could cost them everything.Merlin Bise, CTO of Inbenta and former Head of Technology at a firm acquired by the London Stock Exchange, joins us to share how Inbenta is helping enterprises modernise their customer experience. Merlin explains that so many AI deployments fail, not because the technology is lacking, but because companies often bet on the wrong frameworks, overlook data foundations, or underestimate the importance of testing. We explore how traditional rules-based systems give way to agentic frameworks that can reason, triage ambiguous queries, and even correct automation gaps in real time. Merlin walks us through the journey many enterprises take: beginning with deterministic rules, evolving to AI-powered agents, and ultimately orchestrating complex automation through agentic manager systems that oversee and improve themselves.Security and custom

In this special episode, recorded live at Boost Camp, we have three industry leaders who are shaping the future of conversational AI: Ben Maxim, CTO at Michigan State University Federal Credit Union (MSUFCU), Åse Marthinsen, who leads generative AI at Norway’s largest bank, DNB and Nick Mitchell, Chief Revenue Officer at boost.ai.We cover the ever-changing landscape of conversational AI, including aligning teams, integrating data across channels and designing experiences that are on brand and human-centric.We look at how organisations are managing thousands of conversational intents with lean teams, thanks to hybrid AI models and smarter content workflows. There’s a growing focus on data governance and trust, especially in highly regulated industries like banking. But DNB and MSUFCU show that you can scale responsibly, with MSUFCU’s chatbot Fran now handling 79% of customer chats without escalation.As AI gets faster, so do the expectations from customers and leadership. We talk about the shifting role of cont

In this episode, we explore how True Classic, a men's apparel brand, is leveraging AI to transform its customer support with Jordan Gesky, Senior Customer Experience Manager.We look at True Classic’s journey from rule-based automation to generative AI across multiple channels. Jordan talks about how their AI assistant, Crue, now handles customer service inquiries through chat, email and phone channels and how that’s reduced costs and time to resolve.We get into the practicalities of AI in customer service, including continuous auditing, clear guidelines and giving AI a brand voice. Jordan explains how True Classic trains their AI using agent conversations and FAQs and how they integrate it with their Shopify account, returns portal and product catalogue to create a self-service solution.We also talk about the challenges of AI implementation, from hallucinations to customer data security and how True Classic approaches AI governance through transcript reviews and CSAT monitoring.Shownotes: Subscribe to VUX Wor

In this episode, we talk to Guillaume Laporte, Chief AI Officer at Foundever - a $4 billion BPO giant with 150,000 employees worldwide. Guillaume explains the massive impact of generative AI on the BPO industry, why it’s the biggest threat and the biggest opportunity for contact centres today.From deciding whether to buy, build or partner on AI solutions to navigating multiple client systems and languages, Guillaume shares how Foundever is transforming its workforce with AI-powered tools like EverAssist. Guillaume also explains why Foundever built its own internal version of ChatGPT rather than licensing OpenAI’s solution, saving millions of dollars a year while retaining control over features, latency and performance.Find out how Foundever has been tackling challenges like the AI adoption gap, balancing cost, speed and accuracy in AI models and using talent to scale solutions globally.If you want to know how generative AI is being used in a complex, multilingual, multi-client environment, this episode has th

Generative AI has changed everything - from how we build to how we design. In this episode, we’re joined by Alex Shin, Senior Product Designer at Prudential Financial, to talk about how UX is evolving in the age of LLMs.Alex shares his journey from studying Social Policy to UX and conversation design, including how he helped launch Prudential’s first customer-facing chatbot in 2022.We talk about how Prudential’s NLU-based chatbot is consistently getting customer satisfaction scores above industry standards and how the company is exploring generative AI solutions for both internal and customer-facing services.We also dive into the collaboration between design and tech teams at Prudential, and how this partnership ensures solutions are technically feasible while prioritising user needs. This episode is for designers navigating the transition to generative AI, tech leaders trying to balance innovation with user experience and anyone interested in how big financial institutions are using AI to improve customer se

What if the most exciting AI agent innovation isn’t happening in the enterprise, but in the mid-market?In this episode, we unpack Voiceflow’s explosive growth, the shift from flowcharts to frameworks, and why success today isn’t about having the smartest model, but about how you deploy it.We explore how to build reliable, production-grade agents, the rise of self-improving systems, and the emergence of agent-to-agent orchestration.And while mid-market companies are moving fast, Braden explains why enterprise adoption is inevitable, and what it’ll take to reach that tipping point.Congratulations to Braden on making his fourth appearance on the VUX World podcast!This episode is brought to you by NLX.NLX is a conversational AI platform enabling brands to build and manage chat, voice and multimodal applications. NLX’s patented Voice+ technology synchronizes voice with digital channels, making it possible to automate complex use cases typically handled by a human agent. When a customer calls, the voice AI gui

In this episode, Kane Simms is joined by Katherine Munro, Conversational AI Engineer at Swisscom, for a deep dive into what might sound like an odd pairing: using LLMs to classify customer intents.Large Language Models (LLMs) are powerful, multi-purpose tools. But would you trust one to handle the precision of a classification task?It’s an unlikely fit for an LLM. Classifiers typically need to be fast, accurate, and interpretable. LLMs are slow, random black-boxes. Classifiers need to output a single label. LLMs never stop talking.And yet, there are good reasons to use LLMs for such tasks, and emerging architectures and techniques. Many real-world use cases need a classifier, and many data and product development teams will soon find themselves wondering: could GPT handle that?If that sounds like you, then check out this extended episode to explore how Switzerland’s largest telecommunications provider tackles this issue while building a next-generation AI assistant. This episode is brought to you by NLX.

In this episode, Kane is joined by Sonia Ingram, Global Director of AI at Pandora, to explore what it really takes to develop AI maturity in a global business.Many organisations aiming to get started with AI and generative AI often focus on short-term, point solutions to specific problems. This emergent strategy often led from the grassroots to solve siloed departmental pain points can work for proof of value. But it rarely scales.For example, a chatbot that handles returns brilliantly may not be equipped or supported to drive sales conversations. If the support team owns it, where’s the incentive to collaborate with sales to expand its capabilities?To scale AI initiatives enterprise-wide, businesses need a purposeful strategy. One that prioritises literacy, governance, tooling, and operational foundations that empower teams across the organisation to build, maintain and grow AI solutions.In this episode, Kane and Sonia explore what it really takes to build and scale AI maturity in a global business. We cover

In this episode, we chat with Andrei Papancea, CEO and Co-Founder of NLX, to cut through the noise and get real about where AI in the enterprise is delivering value, and where it's not.Andrei brings a refreshing dose of grounded perspective as the buzz around ‘agentic AI’ and generative everything reaches fever pitch. Instead of chasing trends or slapping AI onto every process, NLX is laser-focused on practical outcomes: real problems, solved efficiently, and with the right tech. We explore the challenges enterprise leaders face when navigating a market bloated with hype: internal pressures to ‘do AI,’ tech stacks that aren’t ready, and misunderstandings about what LLMs can and can’t do. Andrei shares where generative AI genuinely shines and where it is still too risky, especially for heavily regulated industries.This episode is brought to you by NLX.NLX is a conversational AI platform enabling brands to build and manage chat, voice and multimodal applications. NLX’s patented Voice+ technology synch

In this VUX World podcast episode with Kerry Phillipson, she reveals how Arriva Group transforms customer experience using cutting-edge AI technology. Learn how they're creating a virtual assistant that's not just another chatbot, but a smart, personable travel companion that understands your journey needs.Kerry shares with us how Arriva is driving AI innovation within the transportation sector. She explains how artificial intelligence is used to tackle real customer pain points, making travel smoother and more intuitive. The conversation also dives into what it takes to design an AI with a genuine personality one that feels more like a helpful guide than a machine. Looking ahead, they explore the future of travel support and how AI is reshaping the way customers interact with transportation services. Hosted on Acast. See acast.com/privacy for more information.

In this episode on the VUX World podcast, we chat all about the innovative AI journey of Citizens Advice with Stuart Pearson.We discover how a nonprofit organisation is revolutionising customer support through Caddy, an intelligent AI assistant that reduces average handle time by 50% while maintaining a rigorous ethical approach.Stuart shares the meticulous process of developing an internal AI tool that supports contact centre agents, highlighting the importance of responsible AI implementation. From initial challenges with chatbots to creating a sophisticated AI solution, this podcast reveals how organisations can leverage artificial intelligence to enhance productivity, improve service delivery, and ultimately help more people.Subscribe to VUX World.Subscribe to The AI Ultimatum Substack. Hosted on Acast. See acast.com/privacy for more information.

In this episode, we dive deep into how NatWest uses generative AI to reshape customer service at scale, with Mark Worden, Strategy & Innovation Lead for Cora at NatWest.We explore how one of the UK’s biggest banks is building AI-driven customer journeys that are smarter, faster, and more efficient. From traditional NLU-based bots to cutting-edge Retrieval Augmented Generation (RAG) pipelines, Mark shares how Cora Plus achieves up to 99% accuracy and drastically reduces handoffs to human agents.Mark takes us inside NatWest’s pilot process - from narrowing 500 web pages down to a curated 120-item knowledge base to running internal tests, red-teaming for hallucinations, and prioritising customer consent and governance at every step. We also discover how NatWest’s summarisation tool transforms the agent experience by reducing transcript review time and saving over 50,000 minutes weekly in both agent and customer wait time. With 1.2 million conversations a month and counting, this is a masterclass in scal

AI is changing how businesses talk to customers, but how do you move beyond the hype and make AI work for your business? In this episode, we chat with Chafik Abdellaoui, Workforce and Quality Manager at Autodesk, about how AI is used in sales and customer experience and the real results.Autodesk is leveraging AI to analyse calls, generate follow-up emails and improve CRM data. AI is being used to make sales teams more efficient and effective. Chafik explains how AI is automating low-value tasks so sales reps can focus on what really matters: building relationships and closing deals. From extracting insights from conversations to drafting personalised emails and proposals, Autodesk’s approach is about enhancing and not replacing human expertise.But AI adoption isn’t always easy. We discuss the challenges of implementing AI in sales teams, including agent adoption, structured processes and data quality. We also ask the following question: As more companies deploy AI, do we end up with homogenous customer experi

In this episode, Panos Karagiannis, CEO of Moveo.AI, joins us to explore how AI has been reshaping business automation. Panos shares invaluable insights into what it takes to build production-ready AI agents, from scaling AI solutions across industries to navigating the complexities of enterprise adoption.We also dive deep into the real-world applications of Gen AI, the buy vs. build debate for enterprises, and the challenges of differentiation in a world where many businesses use the same foundational AI models. Plus, we discuss why quality assurance is the unsung hero of AI implementation and how companies can future-proof their AI strategies.Check out Moveo.AI Hosted on Acast. See acast.com/privacy for more information.

AI has made incredible strides, but is it truly user-friendly? In this episode, UX legend Jakob Nielsen joins VUX World to discuss why AI usability still lags behind and what needs to change. As the founder of UX Tigers and a pioneer in usability with 41 years of experience, Nielsen has shaped the field with groundbreaking contributions, including heuristic evaluation, Jakob’s Law, and the 10 usability heuristics. He has authored eight best-selling books, holds 79 patents, and was named “the king of usability” by Internet Magazine and “the guru of Web page usability" by The New York Times.We explore the challenges AI users face, from the articulation barrier to unclear system feedback, and why many AI products still prioritise engineering over usability. Nielsen also unpacks the impact of AI stigma, discussing how better design can build trust and encourage wider adoption. Drawing on his vast expertise, he explains why usability heuristics are more relevant than ever in the AI era.Finally, we discuss the futu

This is an interview with Ronald Ashri, Co-Founder of OpenDialog. We discuss the evolving landscape of conversational AI. Ron shares how OpenDialog has progressed since our last conversation in 2021, highlighting the transformative impact of large language models and generative AI on the enterprise automation space.We dive into the nuances of defining "AI agents", calling out the hype and misuse of the term and putting a few of the well-known tech companies on the chopping block! We chat about how OpenDialog leverages AI agent-based abstractions and goal-driven architectures to build more reliable and effective conversational systems, striking a balance between the flexibility of language models and the constraints of business processes.The conversation also explores the future of conversational interfaces, touching on the potential to blend language AI, dynamic user interfaces, and orchestrated experiences to create seamless, multi-modal interactions. It’s a thought-provoking perspective on the current state