Episodes (9)

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.