Buying an AI agent with explicit decision authority

What handling an order change actually involves

“The agent handles order changes” leaves too much open to interpretation. It could mean gathering information for an employee, changing a delivery date independently, or confirming new terms with a customer. Each action has a different consequence for the business. In your request for a proposal, walk through a specific case and identify where the agent's work ends or requires a human decision.

In this illustrative case, a customer requests an earlier delivery and a different address for part of an order. The agent can read the message, the order, and stock availability. However, the system has no confirmation that transport to the new address is available. Stock availability alone does not establish whether the company can accept the new terms.

The comparison below shows possible scopes. Each would need to be agreed with the provider.

Under a limited scope, the agent could prepare a proposal and leave the order unchanged. A broader scope could allow it to record that the customer has submitted a request for review. Changing the delivery date and sending confirmation should each have their own conditions for authorization. Permission to record a request does not establish permission to accept new terms.

Approval must support an informed decision

The employee approving a change needs to see the current and proposed terms, the source of the request, and anything the agent has not confirmed. They should also know what will happen after approval. Will only an internal record change, or will the customer immediately receive a message?

In this scenario, the reviewer needs to notice the missing transport confirmation. If the screen only shows a finished reply and an approval button, the employee has to investigate the case again in other systems. That work needs to be part of the assessment of the solution's usefulness.

Ask the provider to show how an employee rejects a proposal, edits part of it, or passes the case to someone else. Also establish what happens if nobody approves the action. A lack of response should not count as approval by default unless the company has agreed to that process.

Test what happens when information changes while approval is pending. Another employee may have already modified the order. Reviewing an old proposal is then insufficient grounds for updating the current order. Include the agent's behavior in that situation in the acceptance criteria.

Missing information and conflicting instructions

The scope of authority should specify which information gaps allow the agent to continue. A missing phone number for the recipient might still allow a draft to be prepared, while preventing transport arrangements from being finalized. The two actions do not need identical conditions.

A purchase requirement can describe the expected outcome: the agent identifies the missing transport confirmation, refers the case to a designated role, and leaves the delivery date unchanged. The buyer should assess whether this fits the current workflow and who will actually pick up the case.

Conflicts need separate testing. The customer's message may give a different address from the approved record, or an employee may instruct the agent to act beyond its permissions. The provider should agree with the process owner which source settles each issue and when another decision is needed. The agent should not establish the company's approval hierarchy on its own.

What you can stop and what you can reverse

Being able to turn off an agent does not undo its earlier actions. Stopping further messages will not retract a confirmation the customer has already read. Correcting a field may require a separate operation, and some changes trigger further work by the warehouse or carrier.

Before buying, ask for a description of the consequences of each permitted action. For an order update, establish whether the previous value can be restored, who can restore it, and what happens to work started after the change. If an action cannot be reversed, you need an agreed way to handle a mistake.

It is also useful to assess visibility once the agent is live. Anthropic's research on agent autonomy, based on observations of its own tools in use, discusses visibility, intervention, and oversight. For buyers, this is a reason to ask what an operator can inspect and stop while the system is working.

Acceptance testing with difficult cases

A test involving a complete order and unambiguous approval covers only part of the scope. Include a request without transport confirmation, an order changed by an employee in the meantime, and a customer message sent a second time. Agree on the expected result for each case before testing.

Assess the full sequence. Did the agent correctly identify the missing information? Did it stop the right action while leaving useful material for an employee? Did processing the same case again create another commitment? The result should also make it possible to establish which decisions a person made.

Test a case where the order system does not confirm that an update succeeded. The agent must distinguish a confirmed change from an attempt with an unknown outcome. Before launch, establish who investigates that situation and when another attempt is allowed. Our article on preparing and accepting an AI agent implementation covers the stages of the broader project.

Who takes over after launch

Assign a process owner who can approve changes to the agent's decision authority. Separately, establish who handles cases the agent has stopped and who responds to technical problems, since these responsibilities may sit with different people at your company and the provider.

The proposal should define the agreed maintenance scope and what happens after a procedure or the order system changes. Expanding the agent's role from preparing proposals to sending confirmations requires a fresh assessment of the consequences and acceptance testing. It changes the system's operational responsibilities.

What to bring to a purchasing conversation

Syntalith builds AI agents, applications, and automations. For this purchase, that also allows a narrower scope to be considered: a tool that prepares proposals or an automation for a clearly defined action. The choice depends on whether the task requires interpreting a case and making a sequence of decisions.

Bring an example of an order change and identify the actions you want the system to take over. Add an exception your current team cannot resolve on its own. These give you a basis for discussing read, write, and send permissions and proposing acceptance criteria. Integrations, the approval process, and maintenance affect the quote. See Syntalith's pricing page for the current offer.