AI voice workflow

Customer experience analytics

Customer experience analytics: plan customer conversations, business rules and transfer to a person. Start with a representative sample in your target language.

Aisha AI · Updated

Use case

CX signals
Sentiment review
Call topics
Quality trends

Define a useful result

Choose the questions the agent can answer and the actions it can take. Specify when it should transfer a conversation to a person.

Voice-agent and call-center workflow

Voice-agent pages connect STT, TTS, business rules and human handoff. Telephony, deployment and security details should be scoped per project.

App first, API when needed

Teams can validate the workflow in the Space app, then automate it through the API. Format, limits and endpoint details should stay governed by the official documentation.

What to check before launch

Evaluate results with your own material. Keep separate results for each language and recording or playback condition.

Try a representative sample

Test typical customer questions, unclear replies and requests to speak to a person before connecting live calls.

Connect it to the product

Keep API credentials on your server. Check documented formats, limits and response states, and test a failed request before automating the process.

Review each language

Do not generalize one language result to the entire catalog. Ask someone familiar with the target accent and terminology to review the output.

How it works

1

Define the call or support use case.

2

Design the voice-agent, STT/TTS and handoff workflow.

3

Use a demo to validate telephony and integration scope.

Frequently asked questions

Is Aisha suitable for Customer experience analytics?

Start by testing reviewing customer-experience signals through conversations and call metrics with representative material. Confirm the target language and required features in Space or the API documentation before planning a full integration.

Can this work through an API?

Voice-agent integrations should be scoped against project requirements, telephony and security constraints rather than treated as a generic public API promise.

Where are exact formats and limits documented?

Supported formats, limits and endpoint details are handled in the official Aisha API documentation.