As enterprises deploy AI agents into production, a new operational challenge emerges: how do you monitor and maintain systems that don't fail with error codes, but instead drift subtly away from expected performance? In this episode, the AI, Actually crew tackles the emerging discipline of AgentOps—the practice of keeping AI agents performing at peak business value over time.

The discussion cuts through the hype around "self-learning" and "automated" AI to reveal the hard truth: agentic systems require continuous human oversight, just like human employees do. From probabilistic model behavior to reasoning model complexity, the team explores why traditional IT monitoring approaches fall short and why businesses need to rethink who owns these digital workers.

Topics covered:

• Why AgentOps is fundamentally different from traditional DevOps and LiveOps
• The three levels of agent complexity and three types of drift that can derail performance
• Why traditional IT support models don't work for goal-driven agentic systems
• The organizational challenge of bringing together business knowledge, AI expertise, and technical skills
• Why there's no "blue screen of death" for agent failures—and what that means for monitoring

Follow the Gang:

• Nicole Kosky, Senior Director of Services, AnswerRocket | https://www.linkedin.com/in/nicole-kosky-5b9a3b6/
• Joey Gaspierik, Director of Enterprise Sales, AnswerRocket | https://www.linkedin.com/in/joey-gaspierik-4a613642/
• Stew Chisam, Operating Partner, StellarIQ - https://www.linkedin.com/in/stewart-chisam-7242543/ 
• Jim Johnson, Managing Partner, AnswerRocket | https://www.linkedin.com/in/jim-johnson-bb82451/

Chapters:

00:00     Introduction to AgentOps

02:38     Defining Agentic Operations

09:30     The Role of Human Oversight

11:01     Understanding Performance Degradation

17:27     The Complexity of Monitoring Agents

26:07     Organizational Challenges in AgentOps

31:00     The Future of Agentic Operations

35:26     What's An Agent?

Hashtags: #AIImplementation #EnterpriseAIAdoption #OrganizationalChange #AILiteracy #GeneralistEngineers #LastMileProblem #VibeCoding #AIROI #RevenueGeneration #OpenAIWhitePaper

Keywords: Agent Ops, AI agents, enterprise AI, LLM monitoring, model drift, probabilistic systems, agentic AI, AI operations, AI governance, AI deployment, DevOps, LiveOps, reasoning models, AI scalability, digital workers