Headless AI agent

A headless AI agent has no interface of its own. Your systems drive it through an API, sending it work and receiving structured results, so whatever the customer sees is rendered by your product rather than the vendor's.

Headless describes where the agent sits rather than what it can do. The same reasoning, tool use, and guardrails apply, and the difference is that no conversation surface ships with it. Teams reach for headless agents when the work has no conversation attached at all, and when a conversation does exist but the interface around it has to stay exactly as it is.

Frequently asked questions

When would you use a headless AI agent?

Three situations. Back-office work with no customer conversation attached, such as disputes adjudication, KYC review, or document processing. Cases where a conversation exists but lives in a system you do not want to replace, so the agent works through your ticketing tool instead. And customer-facing chat inside your own app, where your product renders the conversation and the agent handles the reasoning behind it. Our guide to headless AI agents for regulated financial services covers when each one earns its place.

Is a headless AI agent less capable than one with a chat interface?

No. The interface is a delivery surface rather than a constraint on the reasoning behind it. A headless agent has the same access to tools and the same guardrails, and it often handles more consequential work, because back-office cases tend to change records rather than send messages.

How do you supervise a headless AI agent?

Through the trail rather than the transcript. With no conversation to read, oversight depends on logging every action, source, and decision against the case, plus approval gates on anything irreversible. A headless deployment without a complete audit trail is difficult to review and harder to defend.