AI BriefingVoicemail Detection
Key point
It automatically detects voicemail to reduce credits spent on empty calls.
Details
ElevenLabs has added a voicemail detection system tool to Conversational AI. Instead of waiting for long periods or doing repeated recordings when a voice agent connects to an answering machine, it detects this in real time to reduce wasted cost.
The LLM analyzes patterns specific to voicemail within the conversation flow. For example, automated greeting structures, phrases like "leave a message after the beep," responses with no interaction, and standard voicemail announcement phrases serve as detection signals.
Once detected, the behavior differs depending on the configuration.
- Leave a custom message: Leave a short, purpose-driven voice message, then end the call
- Hang up immediately: End the connection and move on to the next call
This feature can be used right away simply by adding it as a system tool when building an agent. It is especially useful in scenarios like outbound sales, customer support follow-up calls, appointment reminders, and lead qualification, helping ensure that credits are spent only on actual conversations rather than voicemail.
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