AI / VOICE
Give spoken sales conversations a useful next step
Design speech around what the caller needs to accomplish, from the opening to the handoff.
An AI voice selling API is useful when speaking is a natural way to ask a product question, describe a requirement, or request the right sales contact. Start with a controlled inbound task and a clear completion condition. The experience should tell callers what the assistant can do and how to change direction.
Choose how speech connects to business logic
OpenAI's voice architecture guide describes integrated realtime conversations, voice interfaces with separate reasoning backends, and staged speech pipelines. Choose according to the control you need over transcripts, responses, tools, and review points.
Gather the caller's purpose, approved knowledge, available actions, and handoff destination. Define outputs such as confirmed requirements, unresolved questions, requested follow-up, and action status. A transcript alone is not a complete business outcome.
Design the moments between answers
OpenAI's voice activity detection documentation covers silence-based and semantic turn detection. Prototype interruptions, thinking pauses, corrections, and tool delays before deciding how the conversation should behave.
Keep spoken answers navigable and offer a written continuation for complex details. Read back the time zone, destination, or identifier before an action depends on it. If a lookup fails, explain the pending state instead of presenting an unavailable result as a fact.
Make the handoff part of the first release
OpenAI's TTS guidance requires disclosure that its generated voice is AI. Explain the assistant's role, decide how recording preferences are handled, and provide a practical route to another channel or a person.
Prepare a handoff summary with confirmed facts, uncertainties, and completed actions. Tell the caller whether a transfer is happening now or a request is being prepared. Use the local prompt builder to outline this conversation before implementing audio or telephony.
A useful starting workflow
Write the call outcome
Choose one inbound purpose and the evidence needed to complete it. Define the opening, available information, confirmation points, and route when the task exceeds the scope.
Prototype the exchange
Test realistic speech, pauses, interruptions, corrections, and slow tools. Compare the whole interaction against caller needs instead of selecting solely for the sound of a sample voice.
Verify follow-through
Check the final summary, contact destination, preferences, and status reported by connected systems. Give the receiving team enough context to continue without repeating the entire conversation.
Sources & further reading
Before you connect
A few useful answers.
Which voice architecture should I prototype first?
Choose the approach that exposes your most important uncertainty. A staged pipeline can help inspect intermediate text; an integrated conversation may be useful when turn-taking is the central requirement.
When should the assistant hand over to a person?
Define triggers such as missing product evidence, a requested commercial exception, unresolved identity, or the caller's preference. Carry forward confirmed context and explain the next step accurately.