What should an AI agent be allowed to do in your business?

An agent is a worker with access to tools

A chatbot response is usually an answer. A tool-enabled system can also ask software to do something. The difference matters when that software holds customer information, sends messages or changes an order.

A confident sentence is reversible by editing it. A promise sent to a customer may be harder to undo.

Anthropic distinguishes predefined workflows from agents that choose their own steps. That distinction helps buyers assess the task.

Can a fixed process handle it, or does it need flexible judgment? More independence is a design choice with costs and risks, rather than an automatic upgrade.

Begin with one bounded job

Consider this illustrative job: a supplier emails a revised delivery date for order P-18. A useful system finds P-18, identifies the proposed date, shows the relevant sentence and prepares an update.

A reviewer confirms that the supplier means the final delivery, rather than a sample shipment. Only then should the operational record change.

This job has a clear beginning and end. The system does not need permission to negotiate price, alter customer commitments or message every affected buyer. Limiting the job makes success easier to check and makes an error smaller.

Use an authority ladder

The following is a suggested policy for an ordinary order workflow. Adapt each permission to the consequence of a mistake and the person accountable for the result.

A working tool needs a clear contract

A tool contract explains what the tool accepts, what it changes and what it returns. An update tool should identify the exact order, expected current version and proposed date.

It should report success or failure plainly. A vague “handle this order” action hides too many decisions.

Anthropic’s tool-design guidance emphasizes clear tool descriptions and evaluation. Ask the vendor to demonstrate a failed attempt, a duplicate request and a missing permission. Those demonstrations reveal more than an ideal first run.

Test exceptions before expanding access

Build a small trial from real, permissioned examples. Include an order with two suppliers and a cancelled order. Add an old forwarded message and two customers sharing a name.

Score the final result and the review effort. A task completed quickly but incorrectly should count as a failure.

1. Write the exact job and the actions it may use.
2. Define what needs approval and who can give it.
3. Try ordinary, ambiguous, duplicate and failed cases.
4. Check the final record against the source.
5. Expand scope only after the failure and recovery paths work.

Keep the trial narrow enough to understand

A good first workflow has a source people recognize, a small proposed change and a clear decision owner. Keep the person, order and next action together so a colleague can continue the job.

Before expanding the trial, ask that colleague to explain the accepted result and identify anything still waiting for clarification. Their questions reveal where the process needs attention.

Begin with a few supplier updates. Keep the source, confirm the record and plan the follow-up.

Once the team trusts that routine, it can identify the next job worth improving. The goal is dependable work that someone can understand and supervise.