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.
AI voice workflow
AI call center
AI call center: plan customer conversations, business rules and transfer to a person. Start with a representative sample in your target language.
Aisha AI · Updated
Use case
AI call centers
Voice agents
Call Metrics
Support automation
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.
Which workflow fits your use case?
Voice agent and call center
API and developer paths
Use case pages
Related pages
Frequently asked questions
Is Aisha suitable for AI call center?
Start by testing building AI call-center workflows with voice agents, STT and call analytics 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.