If you’ve been hearing nonstop hype about AI agents but still aren’t sure what they actually do—or how to use them—this episode breaks it down. In this episode of Sit Down with Sunder, AJ Sunder (Responsive CIO & CPO) unpacks what AI agents really are, how they work, and how organizations can start using them to drive real business outcomes.Despite all the excitement around AI agents, most teams aren’t using them yet. Why? Confusion, risk, and unrealistic expectations. Sunder cuts through the noise and focuses on what actually works.What you’ll learn about AI agents:- What defines an AI agent (and what doesn’t)- Why “AI agent hype” is outpacing real adoption- How to get started with AI agents safely- The importance of human-in-the-loop workflows- When to use AI agents vs AI assistants- Common mistakes organizations make early on- How to measure ROI and business impactThe big takeaways from Sunder?- Most organizations should start with AI-assisted workflows, not full agents- The best early use cases are repeatable, auditable, low-risk tasks- AI agents require clean, centralized knowledge to work effectively- Fully autonomous agents can be risky, especially in high-stakes environments- The goal is more than just time savings. Aim for better outcomes and smarter decisionsOne standout idea: treat AI agents like new hires. You wouldn’t give a new employee a critical, irreversible task on day one, so you shouldn't do it with AI agents either. As AI continues to reshape how organizations respond to RFPs, manage knowledge, and collaborate across teams, understanding how to move beyond hype is critical. If you’re looking to turn AI agents into something practical—not theoretical—this conversation is a strong place to start.