Support Experience

Are Large Language Models (LLMs) the ultimate product of the AI revolution, or just the plumbing? In this episode, we explore the striking structural parallels between the 1990s browser wars and today's race for AI dominance. Just as Netscape's web browser transformed from a billion-dollar standalone product into a free, ubiquitous utility, raw artificial intelligence is rapidly commoditizing in f...

In this episode, we explore a strange paradox showing up in enterprise budgets this year: if AI token prices are falling rapidly, why do enterprise AI bills keep climbing? Even though the cost to run inference on frontier models is projected to drop by more than 90% by 2030, total spend continues to rise. We break down exactly why this happens, focusing on how the shift to agentic workflows means...

In this episode, we explore the crucial divide between personal AI agents and enterprise-grade ambient AI. While viral open-source projects like OpenClaw have demonstrated the massive demand for "always-on" autonomous agents, their single-user design introduces significant liabilities to enterprise support operations. We break down why the "personal Jarvis" blueprint—which relies on broad permissi...

For the past two decades, enterprise customer support has been weighed down by a "cobbled ecosystem" of disjointed software. From CRMs and ticketing systems to telephony and live chat platforms, support agents are drowning in a fragmented tech stack. In fact, nearly 70% of workers lose over 20 hours a week just managing these disconnected systems. In this episode, we explore the "Great Rebundling"...

Salesforce recently unveiled Headless 360 at TDX, a sweeping initiative that exposes its platform capabilities as APIs, MCP tools, and CLI commands so AI agents can operate the system without a graphical browser. This announcement serves as an official obituary for the UI-centric CRM era, signaling that the real value now lives in data and workflows invoked directly by AI. In this episode, we unpa...

In this technical deep dive, we unpack the architecture behind why nearly 70% of enterprise support CRM migrations exceed their budgets, miss deadlines, or fail entirely . We explore the hidden engineering costs of platform transitions, specifically focusing on the critical dangers of tightly coupling your predictive AI models to your CRM infrastructure. When AI capabilities are natively built int...

In this episode, we dive into a costly operational mistake: why organizations rush to deploy customer support chatbots before truly understanding what their customers are asking. Despite the promise of 24/7 coverage and instant deflection, fewer than 30% of B2B chatbot deployments meet their ROI targets within their first year. The culprit? Launching chatbots against poorly understood support data...

In this episode, we take a deep dive into the engineering architecture behind SupportLogic’s AutoQA system and uncover why evaluating customer support interactions requires far more than simply asking a Large Language Model (LLM) to act as a judge. We break down the failures of the "pure GenAI wrapper" approach, exploring how LLMs struggle with deterministic math for SLA calculations, hallucinate...

Are we truly entering the intelligence era, or is the buzz around AI agents just a Super Bowl advertising trend? In this episode, we cut through the noise to explore the real-world applications of agentic AI in the enterprise. We unpack the conversation between industry experts Thomas Law of TSIA and Krishna Raj Raja, CEO of SupportLogic, as they break down the critical shift from standard interac...

In this episode, we explore how the SupportLogic Engineering Team is transforming generative AI summarization from a risky, black-box experiment into a trustworthy, enterprise-grade system. Moving GenAI into real-world production requires more than just a good underlying model—it demands measurable confidence. We break down SupportLogic's innovative evaluation framework, which relies on "Judge LLM...

In this episode, we strip away the hype surrounding modern artificial intelligence to explore the reality of AI in Customer Experience (CX). We discuss why AI should be viewed as "intelligent automation" rather than magic , and examine the fundamental shift from deterministic to probabilistic computing. Discover why a massive, billion-dollar Large Language Model can fail at basic math while a pock...

Are your engineering and support teams stuck building unmaintainable trees of exceptions? Traditional case routing relies on deterministic logic—static "if/then" rules that completely fail at the combinatorial complexity of enterprise scale. In this episode, we dive deep into the architecture of SupportLogic’s Intelligent Case Assignment (ICA) to understand how it shifts routing from a rigid class...

We are wasting 14 billion support hours annually—time that, with the right AI strategy, can be reclaimed and redirected toward value creation. But rushing to adopt AI without a clear plan risks chaos. This episode reveals a pragmatic, step-by-step framework that enables enterprises to harness generative AI safely and effectively, transforming support operations while avoiding costly pitfalls. We b...

In this episode, we unpack the "Big Three" customer feedback metrics used by organizations worldwide: Customer Satisfaction (CSAT), Net Promoter Score (NPS), and Customer Effort Score (CES). We'll explore the heated debates surrounding these metrics—from experts claiming NPS calculations are flawed and "fake science" to university studies showing CES might be the weakest predictor of all The conve...

In today’s enterprise landscape, over 95% of organizations report near-zero measurable returns on AI investments because critical data remains trapped in fragmented "AI silos". In this episode, we deep dive into the SupportLogic MCP Server , a secure, real-time bridge designed to connect SupportLogic’s deep intelligence directly to your preferred AI assistants and agentic frameworks, including Cla...

In this episode, we cut through the hype to explore exactly companies are successfully integrating AI in their support workflows. We are discussing the panel featuring Erika Semtei, VP of Customer Support at Braze , and Declan Fanning from Coupa , as they share their firsthand experiences partnering with SupportLogic to drive tangible business results. Whether you are weighing the "build vs. buy"...

In this episode, we explore why having the right technology and processes isn't enough to deliver a world-class Support Experience (SX) without the right company culture to back it up. Drawing on insights from Chapter 10 of Krishna Raj Raja's book, we discuss why resilient companies like Adobe constantly refine their core values to survive and thrive through decades of rapid market changes. Tune i...

In many organizations, customer escalations are treated like sudden, destructive lightning strikes. We challenge that notion, exploring the hard truth that escalations are not random, but the logical conclusion of detectable patterns . This podcast provides the blueprint for shifting your team from "firefighting" to forecasting through architectural intent and predictive intelligence. Join us as w...

In this episode, we discuss the panel discussion between the host Ryan Nichols (Partner at DYDX Capital and former EVP of PM at Salesforce Service Cloud), Sowmya (VP of Revenue Operations at HubSpot) and Vijay (Partner for AI and Data at EY) to tackle a critical business challenge: transforming everyday customer support data into strategic executive insight. While customer support is a gold mine o...

In this episode, we dive deep into the evolution of customer support routing with Tali Bartal, Product Manager at SupportLogic. Moving beyond the traditional, rule-based systems of the early 2000s, Tali explains how "Next-Gen" AI is transforming case assignment by intelligently balancing agent workloads, assessing customer sentiment, and matching nuanced skill sets. Whether your team is juggling V...

Basware a global leader in financial software and touchless invoicing solutions—rapidly scaled, its customer support team found itself overwhelmed by a growing backlog of escalations. They faced a common industry challenge: an overly reactive support model that made it difficult to identify which cases needed immediate attention, which ultimately risked customer trust and required extensive resour...

Enterprise support organizations face a growing challenge: knowledge is expanding, but access is shrinking. When knowledge ecosystems become too large and fragmented across different systems, both customers and internal teams struggle to find the answers they need. In this episode, we are featuring Chris Romrell from NICE to discuss how NICE tackled the widespread problem of "knowledge sprawl" hea...

In this episode we do a technical deep-dive for ML engineers, data architects, and technical CX leaders. We move past the prototype phase to tackle the hard infrastructure and architectural realities of deploying mission-critical Large Language Models (LLMs). We examine why direct LLM API consumption is an enterprise anti-pattern. By intentionally abstracting away infrastructure complexity, direct...

Are traditional Software-as-a-Service (SaaS) companies facing an existential threat? With the stock market valuations of many SaaS darlings dropping significantly, it is clear that Artificial Intelligence is massively disrupting how software is developed, shipped, and monetized. The winners and losers of this new era are still being decided, but one thing is certain: SaaS is at a crossroads. In th...

In this episode, we dive into Chapter 1 of Krishna Raj Raja's book to explore why rapid adaptation is the ultimate survival skill for modern businesses. We take a close look at "The Great Adapter," Adobe, and their bold, industry-defining shift to a SaaS-based model with the Creative Cloud. However, as we discuss, even giants like Adobe face continuous existential threats from nimble startups and...