Define call goals and boundaries
List the questions the agent may answer, the information it needs and the cases that should go to a person. Define fallbacks for failed recognition, silence and exceptional cases.
AI voice workflow
An AI phone-agent project brings together conversation design, speech APIs, telephony and human handoff requirements. Confirm the implementation scope with the team before connecting calls.
Aisha AI · Updated
Use case
List the questions the agent may answer, the information it needs and the cases that should go to a person. Define fallbacks for failed recognition, silence and exceptional cases.
Discuss which systems handle STT, dialogue, TTS, call routing and monitoring. Do not assume telephony or production deployment is included; confirm those details in a demo or project discussion.
Evaluate results with your own material. Keep separate results for each language and recording or playback condition.
Test typical customer questions, unclear replies and requests to speak to a person before connecting live calls.
Keep API credentials on your server. Check documented formats, limits and response states, and test a failed request before automating the process.
Do not generalize one language result to the entire catalog. Ask someone familiar with the target accent and terminology to review the output.
Define call goals, caller consent and what the agent is allowed to do.
Document STT/TTS, business-system, telephony and human-handoff requirements.
Use a demo or scoping discussion to review language, failure cases and deployment boundaries.
This page does not establish that a phone line or telephony deployment is included. Confirm connection and infrastructure requirements with the team.
Human handoff is a project requirement to scope. Confirm its trigger, destination system and fallback during a demo.
Write down call scenarios, languages, safety boundaries and integration systems, then discuss project scope with the voice-agent team.