What is an AI voice agent and how does it work?

Between listening and responding

An AI voice agent works in three stages: it turns speech into text, interprets the request and prepares a spoken response. Instructions explain how to serve the caller, documents supply company information, and configured tools allow the agent to look up or change information in other systems.

An API is a connection through which two systems exchange information. For example, an agent can use one to look up an order in a store. The connection must be set up and authorized for the task. Saying “your order was updated” is only correct when the system confirms the change.

From a question to a useful next step

Consider a call about an incomplete order. The agent identifies the issue, asks for the necessary reference and follows an authorized conversation. Without access to the order system, it should explain the limitation and route the request rather than invent a status.

The example on this page is an illustrative recorded conversation. It demonstrates conversational pacing; your agent's behavior will depend on its instructions, tools and testing.

Prepare the foundations

Choose a frequent task with an outcome you can evaluate. Gather the information your team already uses and define what a resolved conversation looks like.

• Purpose: which request should the agent handle?
• Knowledge: which reliable, current information can it access?
• Actions: what can it do, and how will it confirm success?
• Exceptions: when should it create a request or transfer to a person?

Test the whole conversation

Test interruptions, silence, difficult names and questions outside the agent's scope. Listen for response delay, clear questions and successful outcomes. An appealing voice matters, and so does understanding and completing the task.

Tigy lets you configure prompt agents, connect knowledge and tools, test agents and review calls. Run a limited pilot before expanding to more processes. Use those conversations to identify improvements and the situations that still need your team.

From an automated answer to a completed task

A telephone recording plays previously selected content. An IVR (interactive voice response) accepts options and routes calls according to its configuration. A voice agent interprets sentences and maintains a conversation around a task. Letting callers explain a problem in their own words also requires a precise definition of what the automation may do.

Consider someone asking: “My order was due yesterday; can you check it?”. Explaining a general delivery policy is an informational task. Finding that order requires an authenticated lookup. Changing its address requires a separately authorized operation. All three can occur in one conversation, despite having different risks, inputs and success criteria.

Separate these capabilities before configuring the agent. Identify questions answered from documents, information retrieved through tools and actions reserved for staff. This prevents a convincing conversation from suggesting access or authority that the underlying system does not have.

A lookup call, step by step

In a fictional store, the agent introduces itself and asks how it can help. The caller requests a purchase status. The agent asks for the order reference, confirms what it understood and only then calls the lookup tool. Confirmation matters: mishearing a code and retrieving a real record can produce a coherent answer about somebody else's purchase.

The external system must authorize the lookup and return only necessary fields. If the response says “being prepared”, the agent explains that status. It should not turn it into “arriving tomorrow” without an explicit delivery estimate. An empty result should lead to checking the reference or offering the approved support channel.

At the end, the agent summarizes the outcome and checks for another related question. A transcript establishes what was said; tool records and the order system establish what was retrieved. Evaluating the call requires both forms of evidence. This is a possible implementation scenario, not a Tigy customer result.

Design the conversation before choosing its voice

Good configuration starts with a sequence of decisions rather than an introduction script. Define the initial request, minimum required information, answer source, confirmation condition and fallback. For purchase lookups, the central question is how to identify the right record without collecting unnecessary personal information.

Then write conversational instructions: ask one question at a time, confirm identifiers and keep answers short enough to interrupt comfortably. A lengthy policy can be correct in a document yet difficult to follow over the phone. The agent can explain the rule relevant to the question first and offer additional detail when requested.

Choose the voice using your actual service vocabulary: product names, neighborhoods, numbers and abbreviations. Listen to an entire call, including repetitions and waiting. The opening voice sample is only one part of the experience. Consistent pronunciation, understandable pacing and room for callers to speak provide more useful selection criteria.

What the technology cannot solve on its own

Instructions cannot fix an API returning outdated information. A knowledge base cannot confirm availability in a live calendar. A natural voice cannot replace authentication. Adding more prompt sentences can obscure these underlying problems instead of resolving them.

Assign responsibility: content owners approve information; integrated systems authorize retrieval and changes; telephony delivers calls; the agent conducts the interaction within those conditions. If an operation requires approval, enforce that requirement in the responsible system as well as describing it in conversational instructions.

Distinguish telephone transfer from service continuity. Current Tigy documentation describes direct transfer without automatically delivering conversation context to the receiving person. If staff need a summary, design and verify a separate integration. Calling the correct destination does not prove that a representative received the history or can continue the request.

Turn the idea into a pilot

Choose a frequent request with a verifiable outcome, such as explaining services or retrieving a status. Record how staff currently handle it: necessary questions, recurring exceptions, duration and outcome. This baseline helps compare the pilot without attributing every change to AI.

Prepare scenarios covering complete requests, missing identifiers, spoken corrections, unavailable sources and out-of-scope questions. Specify the expected response and authorized action for each. Test text to investigate instructions and tools, then voice to verify recognition, pronunciation and turn-taking. Validate the actual telephone channel before receiving customers.

Limit the initial rollout, assign a reviewer and provide an alternative service path. Classify failures by origin and fix the relevant cause. Expand when you can explain which requests were completed, which remain pending and how staff handled exceptions. Call counts alone cannot answer those questions.

Common questions about voice agents

Does an agent need access to every system? No. Access should follow the selected task. An opening-hours agent can rely on approved content; an individual lookup needs a tool and authorization. Every additional operation introduces conditions that must be tested.

Does it automatically learn from every call? Do not treat a conversation as an automatic update to knowledge or instructions. Review records, identify missing information and update the source or configuration through your team's process. An error history helps only when it produces a verifiable correction and a new test case.

When should a person take over? When a request requires decisions outside the agent's permissions, when sources cannot support a reliable answer or when the caller asks for human help. The goal is to complete eligible requests while preserving a useful route for everything else.

Trace a request from audio to its outcome

A useful way to understand the agent is to follow a fictional call without hiding intermediate decisions. The caller says, “Has my order shipped? It is forty-two... no, forty-three.” Speech recognition must represent the correction. The conversation must then decide whether forty-three is a sufficient identifier. If the system requires a longer code, the next step is to request the rest, rather than retrieve an arbitrary order that appears to match.

After obtaining a valid identifier and meeting the company's verification requirements, the agent can request a lookup through an available tool. The tool returns a status, such as “being prepared,” and possibly an estimated date. The agent translates that result into spoken language while preserving the difference between an estimate and a confirmation. “Expected tomorrow” must not become “It will arrive tomorrow,” because that introduces a guarantee the system did not provide.

If retrieval fails, the path changes. The agent can explain that it could not verify the order at that moment and offer an approved alternative. Asking the same question again will not necessarily repair an unavailable service. A second read attempt may be appropriate, but it should follow a defined limit. For operations that create or modify records, retrying without knowing what happened can produce duplicate effects.

Ending the conversation also belongs to the task. Having received the order status, the caller may still ask to change the delivery address. Successful retrieval does not authorize that second operation. Each new request must be checked against scope, permissions and actual execution capability. That is why a demonstration answering one question well cannot establish that the entire service journey works.

Use this trace as a review exercise with the people responsible for customer service and integration. Ask which decisions belong to the conversation and which must be enforced by the underlying system. Record the evidence that supports each spoken claim. If nobody can point to a source for “confirmed,” “updated” or “sent,” the experience needs clarification before broader use.