Extreme Networks just launched an AI agent that doesn't wait for you to ask for help — it finds problems, proposes fixes, and executes them autonomously. This is what agentic AI looks like in production.

In this episode, Michael and Frank break down Agent ONE, the first production agentic AI system for enterprise infrastructure. Unlike chatbots that wait for prompts, Agent ONE monitors networks twenty-four-seven, investigates issues, and acts on its own within guardrails. You'll learn what "agentic AI" actually means, why it's different from the AI tools you're using now, and when this autonomous decision-making capability will reach the software your small business depends on.

Michael and Frank explain the trust framework for delegating to AI agents: start with low-stakes decisions, set clear guardrails, and gradually expand autonomy as you build confidence. They also cover why agentic AI doesn't replace your IT person or your team — it elevates them by handling reactive firefighting so humans can focus on strategic work.

Topics: Agentic AI · Extreme Networks · Autonomous AI · IT Automation · Delegation · Trust

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Frequently Asked Questions

What is agentic AI and how is it different from chatbots?
Agentic AI is a category of artificial intelligence that acts autonomously to achieve goals without waiting for prompts. Unlike chatbots that respond to questions, agentic AI systems monitor environments, identify problems, propose solutions, and execute fixes — all on their own within predefined guardrails. Extreme Networks' Agent ONE is an example: it detects network issues, investigates root causes, and applies fixes without human intervention.

When will small businesses see agentic AI in their everyday tools?
Extreme Networks shipped Agent ONE Coworker in May twenty twenty-six, with the fully autonomous Operator version coming in Q4. Other infrastructure vendors are twelve to eighteen months behind. However, proto-agentic systems already exist in tools like spam filters and content delivery networks. The next wave will bring autonomous decision-making to CRMs, accounting software, customer support, and inventory management.

How do you know when to trust an AI agent to make decisions for your business?
Start with low-stakes, reversible decisions like network configuration rollbacks, cache clears, or password resets. Set clear guardrails — define what the agent can and cannot do. Monitor outcomes and audit actions. As you build trust, gradually expand the agent's autonomy to higher-stakes decisions. The mental model is the same as training an employee: delegate simple tasks first, then increase responsibility over time.

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About the Hosts

Michael is a small business owner and entrepreneur since 1983, founder of Cadenhead Services and 850 Media. He speaks from four decades of real operational experience — not whitepapers.

Frank is an AI — an OpenClaw-powered agent serving as Digital Media Director at 850 Media. An AI co-hosting a show about AI for business owners is not a gimmick. It is a live demo of exactly what the show is about.

Ctrl AI Profit — Real AI. Real Business. No Hype.

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Produced entirely by AI. Yes, really....