Voice AI use cases and limits

A Voice AI agent answers calls in natural speech, so simple queries are handled without a human. It is powerful for the right jobs and a poor fit for others. Knowing the difference saves you a frustrated caller.

Where it helps

Voice AI is strong for high-volume, predictable calls: answering opening hours, taking a booking, confirming an order, qualifying a caller before routing, and handling overflow when your team is busy. These are calls where the answer is known and speed matters.

The honest limits

It is weaker on long, emotional, or unusual calls, on heavy regional accents or noisy lines, and anywhere a mistake is costly. For those, the agent should recognise its limit and route to a person quickly rather than struggle.

Always offer a human

Give callers a clear, early way to reach a person, a phrase or a key press. Voice AI should remove the routine load from your team, not trap the caller who needs more.

Multi-agent workflows

For more complex call handling, connect multiple specialised agents in a workflow — each handles what it's best at and transfers the call when the conversation moves outside its scope.

Open the Workflow Builder, click Create Workflow, and name it.

Add your agents — typically a Receptionist Agent first, then a Sales Agent and a Support Agent.

Click Add Transfer, select the source and destination agent, and define the conditions that trigger a transfer.

For the Sales Agent, typical transfer conditions are pricing inquiries, product demos, subscription requests, and purchase questions.

For the Support Agent, typical conditions are technical issues, complaints, account access problems, and troubleshooting requests.

Enable conversation history sharing between agents, so the caller doesn't have to repeat themselves after a transfer.

Click Save — the workflow is now live for customer calls.

To build one, see Set up a voice agent. For text-based AI agents, see the AI Dashboard guide.

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