AI agent

An AI agent goes beyond answering. A chatbot replies to a message; an agent decides what needs to happen next and does it, such as checking a calendar, booking a slot, updating a record or sending a confirmation.

How it works

An agent typically combines:

• A large language model that interprets the situation and plans the next step.
• Instructions that define its job, its limits and when to stop.
• Tools, usually APIs, that let it read and change data in other systems.
• State, a record of what it has done so far in the task.
• Guardrails, such as approval steps, spending limits and a rule to escalate to a person.

Autonomy is a spectrum. Some agents only draft actions for a person to approve; others act alone within narrow permissions.

How it works in a business

Agents work best on well-defined jobs with clear inputs and outcomes: qualifying an inquiry, booking an appointment, chasing a missing document. Each agent should have only the access its job requires, and every action should be logged so you can review what it did and why. Risky or irreversible actions, such as refunds or contract changes, are usually routed to a person through a human handoff.

How it relates to Worcia

Worcia builds AI agents into all three of its automation services: conversations in Concierge, its AI receptionist; follow-up in Cadenza, its lead follow-up system; and back-office tasks in Maestro, its workflow automation.