From chatbot to work system
A business AI agent is not only a chat window. It is a work system that receives a goal, chooses tools, stores state, uses knowledge, performs actions and stops when a human decision is required. Architecture should therefore start with the process, not the model name.
The core layers
A reliable agent needs seven layers: task definition, model routing, tool permissions, RAG or knowledge engine, workflow state, observability and human-in-the-loop. Each layer reduces a specific risk: hallucination, wrong action, data leakage or unclear output.
How to start safely
WebEdge recommends starting with one narrow process: document classification, lead triage, support routing or an internal report. Only after tests, logs and human approval should the agent receive more permissions and connect to more systems.