AI voice workflow

Conversation analytics

This page connects Conversation analytics to a practical Aisha workflow for voice agents, STT/TTS and call analytics.

Use case

Conversation analytics
Topic review
Call trends
Customer signals

Focused workflow page

Conversation analytics helps teams choose the right Aisha audio, API or call-center workflow without creating off-product claims.

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 user goal does this page cover?

The page is split into product, API and related-workflow blocks so visitors can find the right Aisha path quickly.

Choose the workflow

For Conversation analytics, start by deciding whether the job is audio generation, transcription or a voice-agent workflow. Then validate it with the demo path and API documentation.

Connect it to the product

Aisha pages connect the Space app, API documentation and call-center or product use cases into one practical path for business and developer teams.

Related searches

The links below connect language pages, API pages and call workflows that serve the same user goal.

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 Conversation analytics?

Yes. This page maps connecting customer conversation transcripts to analysis and reporting workflows to Aisha voice AI workflows.

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.