Voicemail detection that knows the beep
Inbound or outbound, the AI distinguishes human hello from answering machine beep in under a second — then leaves a tailored voicemail or triggers text-back.
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Human vs machine in <1s
Advanced answering machine detection separates live pickup, voicemail beep, and carrier message by audio pattern — not just silence length — so the AI never delivers a pitch to a mailbox.
Smart voicemail drop
When voicemail is detected, the AI leaves a concise, personalized message with callback number and reason, then logs voicemail-left vs no-answer vs human for reporting.
Text-back on voicemail
Pair detection with missed-call text-back: if the AI hits voicemail, the contact instantly gets “We just called — reply to book or we’ll retry” — recovery without another dial.
Outbound campaign aware
For campaigns, voicemail detection prevents wasted LLM turns on beeps, cuts cost per dial, and feeds accurate connect-rate analytics per list and agent.
Tunable sensitivity
Adjust detection threshold per use case: aggressive for high-volume outbound, conservative for warm inbound where a human “hello?” might be soft. Track false-positive rate per agent.
Questions, answered.
How accurate is voicemail detection?
Audio-pattern detection distinguishes human, beep and carrier message in <1s with tunable threshold. Voicemail-left, human and no-answer are logged separately for QA.
Does it leave a voicemail automatically?
Yes when configured: the AI drops a tailored message with callback context, then optionally triggers SMS text-back for recovery — no manual step.
How does VoiceForge compare to Vapi AMD?
Vapi AMD is a flag on the call. VoiceForge pairs detection with native voicemail-drop and text-back actions plus per-agent false-positive tracking — no custom code.
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