Inside PX42: Introduction from our Co-Founder and CEO

In this episode of Inside PX42, Charles Skamser is joined by Catherine Spencer and Edward Hamilton for a candid discussion about one of the most important issues facing airline transformation leaders: why generic AI tools alone are not enough for high-consequence airline customer service.The conversation goes beyond the hype around large language models and retrieval-augmented generation to explain why airlines need a verified truth layer early in the workflow—one that connects authoritative policy, live operational context, customer entitlements, and auditable decisioning. The hosts discuss how this approach applies to refunds, rebooking, baggage servicing, loyalty exceptions, disruption recovery, complaint handling, and regulatory response.Designed for airline executives, digital leaders, customer-service leaders, and transformation teams, this episode ties the technical architecture to business outcomes: lower servicing cost, fewer repeat contacts, better compliance, stronger customer trust, and more defensible automation at scale.

An executive-level conversation on why headless applications are becoming the foundation of the intelligent enterprise, how enterprise software is evolving into API-first application engines for AI agents, and what it takes to move from POCs to governed, production-scale multi-agent systems.Charles Skamser is joined by PX42 colleagues to explore the role of reinforcement learning, orchestration, guardrails, UBIX as the business health layer, and Reliath as the truth and trusted reasoning layer. The discussion stays grounded in enterprise realities: CRM, ERP, ITSM, finance, observability, revenue operations, collaboration tools, and the practical operating-model changes required to make AI useful at scale.Learn how PX42 helps enterprises, SaaS vendors, SIs, and GSIs build trusted multi-agent solutions that connect systems, improve decision-making, and deliver measurable business value.

This episode examines why enterprise AI agents are becoming a platform and operating-model decision, not just a quick prototype. The hosts break down the hidden costs of DIY stacks, from multi-model orchestration and integrations to governance, observability, and long-term maintenance.

This episode explores why the next AI breakthrough is likely to be a coordinated system of humans and autonomous agents, not a single model. The hosts break down what that means for enterprise operating models, governance, workflow design, and where PX42’s human-agent architecture fits in practice.

An inside look at how PX42 helps city leaders move from reactive operations to an AI-driven Intelligent City operating model that delivers measurable outcomes, protects trust, and improves continuously.Charles Skamser is joined by Catherine Spencer and Edward Hamilton to unpack the fastest wins—starting with high-volume services like 311—why a City Health Layer matters, how UBIX and PX42’s ecosystem fit into existing city systems, and how AI guardrails make scale safe and auditable.

In this episode of Inside PX42, Charles Skamser, Edward Hamilton, and Catherine Spencer explore why today’s leading observability platforms still fall short of what executive leaders and boards truly need in the AI Agent era. Traditional observability provides visibility into infrastructure, applications, and digital experiences—but not a real-time, 360° view of overall business health.The team traces the evolution of observability from logs, metrics, and traces to modern telemetry platforms and the rise of OpenTelemetry, which is steadily commoditizing data collection and low-level signals. Building on this foundation, they introduce the concept of a new business observability layer that fuses business, operational, and customer signals to provide real-time business health, a 24-hour predictive outlook, and concrete recommendations for course corrections.Charles, Edward, and Catherine explain how PX42 is working with partners like UBIX to apply reinforcement learning and multi-agent systems on top of existing observability and data platforms, transforming them into intelligent business control planes. They discuss PX42’s intent to partner with current observability leaders—while also outlining how, if incumbents won’t collaborate, PX42 will deliver its own business-health layer that effectively relegates traditional observability to a commodity data and telemetry source in the enterprise stack.

Discover how PX42 and UBIX enable Global 500 enterprises to rapidly scale AI Agents from concept to production using no-code, business-led solutions. Hear real-world stories of unlocking value through democratized AI deployment, robust governance, and continuous innovation across industries.

This episode unpacks the PX42 technical brief to explore the real-world path to practical, governed AGI for enterprises. Discover why architecture, not model size, is the key to scalable intelligence, how multi-agent systems drive efficiency, and what CIOs should demand for secure, explainable, and impactful AI deployment.

This episode of Inside PX42 explores how PX42 is combining Multi-Agent Reinforcement Learning (MARL), Anti-Hallucination processes, RAG, AI Agent Pruning, Zero-Copy Data Fabrics, and MicroVMs to create secure, scalable AI Agent SWARMS. We examine the business impacts on small community banks up to global financial giants, with insights from cutting-edge research and real-world pilots.

This episode explores how AI agents are poised to revolutionize small and medium-sized businesses (SMBs), unlocking agility, efficiency, and new competitive advantages. Our hosts discuss what sets AI agents apart from traditional automation, detail practical use cases, and outline actionable strategies for SMBs to adopt agentic technology with confidence.

In this kickoff episode, we introduce PX42’s vision for transforming organizations with AI Agents, MARL, and next-gen data architectures. Our hosts walk you through the PX42 approach, core services, and real-world use cases that illustrate a measurable impact across various industries. Discover the frameworks, technology ecosystem, and unique value that PX42 brings to AI-driven enterprise transformation.