AI agents in B2B sales: define the function before the channel

“We want a sales agent” can mean many things: answering questions, collecting details from an inquiry, finding background information, or preparing a proposal. Before choosing a channel, separate those functions and decide which one is worth addressing first.

A sales conversation does not end when a response is generated. Information may be missing, conditions may need validation, and commitments require a responsible person.

Choose a task with a clear beginning and end

As an illustrative example, imagine an assistant that receives a service inquiry. Its task could be to identify the need, request the minimum context, and prepare a summary for the sales team.

That scope is different from negotiating prices, confirming availability, or closing a contract. Defining it makes it possible to review which information the assistant needs and what a well-resolved interaction looks like. The example does not represent a Unixono client project or result.

Separate information, interpretation, and actions

A service catalog can explain what a company offers. A person’s message adds their particular situation. A commercial system, when access is authorized, may provide history. These sources have different roles and access levels.

The assistant needs a rule for information it cannot find: ask for clarification, acknowledge what is missing, or hand off the conversation. A convincing response does not prove that a commercial condition is correct.

It also helps to distinguish a suggestion from an action. Drafting a message and sending it to a customer are separate steps. Updating a record requires decisions about which fields may change and how those changes are reviewed.

Define when a person takes over

A handoff is part of the service. Design it so the person taking over receives the context without making the visitor start again.

Situations worth agreeing on include:

• A question whose answer is not in the authorized sources.
• A request for pricing or timing that needs team review.
• An inquiry containing sensitive information or system access.
• A person asking to speak with someone.
• Contradictory messages or a need outside the assistant’s scope.

For each situation, define the destination, which data is transferred, and what expectation is communicated. Do not promise immediate assistance unless the operation can sustain it.

Evaluate conversations, not isolated responses

Prepare examples that cover the entire task. A clear inquiry, an ambiguous one, an out-of-scope question, and a request that changes halfway through can reveal different problems.

Check whether the assistant stays within its function, uses relevant information, and keeps context during a handoff. Include requests that try to change its rules or reach information that should remain private. A successful test supports the next stage of evaluation; it does not remove the need for monitoring during use.

Start with a small function

A first version may only prepare summaries for internal review. That makes it possible to see whether the gathered information helps, which questions are missing, and where the team corrects the interpretation.

If stable fields and rules can resolve the workflow, conventional automation is also worth considering. The choice depends on the task. AI is useful when variable information needs interpretation, but that interpretation must operate with defined permissions, controls, and owners.