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In this interview from the theCUBE + NYSE Wired: AI Agent Conference in New York City, Barr Moses, co-founder and chief executive officer of Monte Carlo, joins theCUBE + NYSE Wired's Gemma Allen to discuss the critical gap between piloting AI agents and deploying them in production. Moses explains that while pilots allow nearly any configuration to run unchecked, the leap to production demands a fundamentally different standard of reliability and trust. She breaks down four core failure points enterprises must watch — data context, agent behavior, performance metrics and output accuracy — noting that any one of these can silently undermine an otherwise well-designed system. The conversation also explores a rapidly approaching inflection point where agents will make more decisions than humans, creating urgent questions around accountability and governance. Moses points to real-world legal precedents — including a court ruling holding an airline responsible for discounts its chatbot erroneously offered — as early signals that whoever builds or deploys an agent carries full liability for its actions. She outlines Monte Carlo's approach: using its own agentic workflows to automatically onboard customers, identify what to monitor across inherited or unfamiliar systems and support teams across the full spectrum from human-in-the-loop oversight to fully autonomous remediation. From navigating the accountability void of a multi-agent world to compressing enterprise time-to-value in an AI-first environment, Moses makes the case that trusted AI requires more than capable models — it demands a dedicated observability layer built to scale at machine speed. Find more SiliconANGLE news and analysis https://siliconangle.com/ Follow theCUBE's wall-to-wall event coverage https://siliconangle.com/events/ Learn about the latest theCUBE events https://www.thecube.net/ 00:00 - Intro 00:06 - Navigating the Integration and Deployment of AI Agents: Insights, Challenges, and Key Considerations 03:43 - Real-World Examples of Agent Failures and Accountability 06:33 - Future of AI Agents and Their Impact on Decision Making 08:36 - Implementing Monte Carlo Solutions: Managing AI Agents and Ensuring Rapid Deployment #theCUBE #AIAgentConference #theCUBEresearch #NYSEWired #MonteCarlo #AIGovernance #EnterpriseAI

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