Agentic AI is the practical evolution of chatbots. Where a chatbot reads and replies, an agent reads, decides which tools to call, executes them in sequence, and produces a result. The result is usually a row in a system of record, a booking, a refund, a claim, a dispatch.
The "agentic" part is the planning. The agent decides which tool to call next, conditional on what the previous tool returned. That is what separates an agent from a workflow: a workflow has the path pre-drawn, an agent draws the path live.
The risk profile is also different. Agents can act, which means they can act wrongly. Production-grade agentic AI requires guardrails, scopes, deterministic tool definitions, and a clear handoff to a human when the model is unsure.
Vorel ships agentic systems where every tool is typed, scoped, and replayable in staging before it hits production traffic.