“Agentic AI refers to models that can reason, set goals, break them down into manageable steps, and determine the best course of action through chain-of-thought reasoning. This evolution enables AI-driven agents to go beyond automation; they can interact with existing IT systems, access databases, and participate in process automation—not in a rigid, robotic manner, but with adaptive, reasoning-based intelligence.

This transformation was already underway, but the acceleration of AI models, now cheaper, more accessible, and increasingly capable, has made agentic AI even more viable. This creates a landscape where AI agents and human agents collaborate. AI agents will be auditable. We can track what they do, when they access data, and how they use it. This transparency is crucial for enterprise adoption.”