Move beyond static recordings
When promotions, working hours or service policies change, update the IVR text and generate a new audio version quickly.
AI voice workflow
IVR recording and AI voice prompts
Manage call-center menus, queue messages and automated greetings with AI audio that can be updated whenever the script changes.
Aisha AI · Updated
Use case
Call-center menus
Queue messages
Working-hour announcements
Automated replies
Local call-center experience
The first voice a customer hears should be clear, local and aligned with the brand. TTS can connect into call-center and voice-agent flows.
Next step: interactive voice agents
An IVR prompt can stay as a simple menu, or become the starting point for an Aisha Voice Agent conversation.
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
Write the IVR script.
2
Generate greetings and menu options.
3
Connect the audio to telephony or a voice-agent flow.
Which workflow fits your use case?
Voice agent and call center
API and developer paths
Use case pages
Related pages
Frequently asked questions
Can IVR audio be updated quickly?
Yes. When the script changes, a new audio version can be generated quickly.
How is this different from a voice agent?
IVR is usually a menu or greeting; a voice agent can hold an interactive conversation with the customer.
Can it connect to a call-center system?
Yes. The exact integration depends on the telephony and infrastructure in use.