Boost Conversations – The Conversational AI & CX Podcast | Podcast en RSS.com

Boost Conversations – The Conversational AI & CX Podcast

Boost Conversations – The Conversational AI & CX Podcast

por boost.ai

Negocios Tecnología

Temporada 1

What most companies get wrong about voice AI

Most companies deploying voice AI are leaving significant value on the table. The technology has matured – but the approach hasn't. In this session, boost.ai Co-Founder and CCO Henry Vaage Iversen and Kane Simms explore why voice AI is finally reaching mainstream deployment across banks, insurers, telcos, and other regulated industries – and what separates the teams getting it right from those still struggling to move beyond proof of concept. Key discussion points: Why phone volumes continue to rise and how large language models are reshaping what's possible on the voice channel How leading customers are achieving 60–75% voice automation, and what it takes to get there Why the gap between chat and voice experiences still catches companies off guard – and what conversation design, latency, and testing actually require Why layering AI onto legacy channels only gets you so far, and why the real opportunity lies in rethinking customer journeys from scratch What happens when AI agents start calling other AI agents – a story from the boost.ai team's own experience Speakers: Henry Vaage Iversen, Co-Founder & CCO, boost.ai Host: Kane Simms, VUX World

The breaking points of voice AI deployments (and how to avoid them)

Many organizations have deployed Voice AI but are struggling with performance, adoption, and ROI. The challenge is rarely the technology; it’s the operational system surrounding it. In this session, boost.ai and Metric Sherpa examine why Voice AI underperforms when layered onto fragmented routing, unclear ownership, and weak feedback loops. We will discuss why traditional IVR and early voice models are failing and how modern architectures require tighter alignment between design and execution. Key discussion points: How prioritizing quick wins creates friction for both customers and frontline staff. Moving beyond automation to redefine roles and establish governance that connects CX, product and operations. How to build a scalable system where automation and human agents work together through continuous feedback and operational discipline. Speakers: Justin Robbins, Founder & Principal Analyst, Metric Sherpa Samuel Danby, Solutions Engineer – Voice Lead, boost.ai Host: Kristian Anders Wilhelmsen, Employee Enablement Manager, boost.ai

Rethinking voice AI: Moving from common mistakes to best practices

In this episode, Samantha Rosendorff (VP of Global Pre-Sales, boost.ai) joins Kane Simms (CEO, VUX World) to dismantle the most common misconceptions about Voice AI. They provide a blueprint for how to design, deploy, and scale Voice AI that actually works, moving beyond the hype to deliver enterprise-grade efficiency. Key Takeaways: The Voice Value Gap: Why most organizations miss the mark with voice automation and the specific ways it impacts your bottom-line efficiency. Dismantling Misconceptions: Debunking the biggest myths about Voice AI implementation that lead to costly deployment failures. Designing for Dialect & Intent: How to build voice experiences that handle the complexity of natural speech without forcing customers back to human agents. Scaling the Right Way: The technical and strategic requirements for moving from a voice pilot to a secure, global-scale deployment.

What "good" looks like for AI Agents in customer service

Accuracy is only the beginning. To build truly effective AI Agents, organizations must establish a clear standard for what quality looks like in practice and how to maintain it as they scale. In this episode, boost.ai's Simeon Kristofferson (Customer Education Manager) and Shiv Chibber (Customer Engagement Manager) sit down to provide a practical mental model for assessing AI agent behavior. They move beyond basic metrics to help you identify issues early and prioritize the improvements that result in reliable, high-performing automation. Key Takeaways: Defining Quality: Why AI agent quality is notoriously difficult to pin down and what it actually means in a real-world service environment. Practical Assessment: A grounded approach to evaluating your agent’s performance to ensure it meets operational standards. Issue Prioritization: How to recognize performance gaps early and decide which optimizations will have the greatest impact on your results. Building for Reliability: Whether you are tuning an existing agent or launching your first, learn how to strengthen your evaluation process and move forward with confidence.

Designing conversational AI that sounds like your brand

In this episode, Shiv Chibber (Customer Engagement Manager, boost.ai) sits down with Kane Simms (Founder & CEO, VUX World) to discuss the strategic importance of Designing Conversational AI That Sounds Like Your Brand. They move past surface-level "personality" to explore how technical guardrails and consistent identity drive customer trust and ROI. Key Takeaways: The Identity Crisis: Why generic LLM outputs dilute brand equity and how to implement architectural guardrails to prevent "personality drift." Trust as a Metric: The direct correlation between brand-consistent CX and self-service adoption. If your bot doesn't sound like you, your customers won't trust it with their data. Operationalizing Voice: Moving from static scripts to dynamic, brand-aligned generation. How to maintain a consistent "voice" across millions of unique, unscripted interactions. The Governance Shift: Why brand voice is now a risk mitigation tool, ensuring that AI agents reflect corporate values while operating within highly regulated environments.

Conversational AI in 2026: From hype to enterprise reality

The era of AI experimentation is over. To capture the projected $80B in labor savings in 2026, enterprises must pivot from “proof of concept” to responsible, large-scale deployment. In this inaugural episode, Shiv Chibber sits down with boost.ai’s Clay Cardozo (VP of Product Development) and Nick Mitchell (CRO) to discuss the market realities of scaling AI. Key Takeaways: -The Scaling Gap: Why most AI pilots fail to reach production. -Market Realities: Moving past the hype to address security and governance. -ROI Framework: How to measure the tangible impact of AI Agents on the bottom line. -Strategic Deployment: The shift from “Can it work?” to “Can it scale responsibly?”