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 guides them to resolve their inquiry through self-service using the brand’s digital asset, resulting in automation and CSAT scores well above industry average. Just ask United Airlines.

Shownotes:

Discover Voiceflow: https://www.voiceflow.com/

Subscribe to VUX World: https://vuxworld.typeform.com/to/Qlo5aaeW

Subscribe to The AI Ultimatum Substack: https://open.substack.com/pub/kanesimms

Get in touch with Kane on LinkedIn: https://www.linkedin.com/in/kanesimms/

Hosted on Acast. See acast.com/privacy for more information.

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.

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 guides them to resolve their inquiry through self-service using the brand’s digital asset, resulting in automation and CSAT scores well above industry average. Just ask United Airlines.

Shownotes:

"The Handbook of Data Science and AI: Generate Value from Data with Machine Learning and Data Analytics" - Available on Amazon: https://a.co/d/3wNN9cv

Katherine's website: http://katherine-munro.com/

Subscribe to VUX World: https://vuxworld.typeform.com/to/Qlo5aaeW

Subscribe to The AI Ultimatum Substack: https://open.substack.com/pub/kanesimms

Get in touch with Kane on LinkedIn: https://www.linkedin.com/in/kanesimms/

Hosted on Acast. See acast.com/privacy for more information.

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 topics such as AI literacy, change management, privacy and governance, and operational tools and processes.

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 guides them to resolve their inquiry through self-service using the brand’s digital asset, resulting in automation and CSAT scores well above industry average. Just ask United Airlines.

Subscribe to VUX World.

Subscribe to The AI Ultimatum Substack.

Hosted on Acast. See acast.com/privacy for more information.