Use case

AI Voicemail

Voicemail that listens, understands, and acts. AI transcribes the message, classifies the intent, and triggers the right callback or task — automatically.

Languages transcribed
100+
From hangup to task
<30s
Intent classification
Auto
Refund guarantee
$2M

01 — Overview

How is AI voicemail different from a transcript service?

A transcript service writes down what the caller said. AI voicemail does the next three things automatically: classifies the intent, decides what to do, and either calls them back as AI or pages a human with full context. The voicemail becomes a task, not just an audio file.

Traditional business voicemail is a known dead-letter box. Customers leave a message, the audio file goes into a queue, somebody on the team listens to a few of them later in the day, callback rates are bad, and the customer who genuinely had an urgent issue has already moved on. The mailbox itself is fine — the workflow around it is broken.

Open's AI voicemail rebuilds that workflow. When the caller leaves a message, the audio is streamed through speech-to-text in real time. By the time the caller has hung up, you have a transcript, a detected intent ("appointment cancellation," "payment dispute," "sales inquiry," whatever your taxonomy is), a sentiment score, and a suggested next action. The next action either fires automatically (AI callback within 60 seconds, ticket creation in your helpdesk, calendar block, payment link via SMS) or pages the right human with the transcript and intent already attached.

Per-number routing makes the workflow specific to the caller. A voicemail on the sales line gets a sales workflow; one on the support line gets a support workflow; one to a specific account manager gets routed to that person's Slack with the customer's history attached.

The voicemail is also still a voicemail. Audio file, transcript, intent, sentiment — all four are filed in the call record, available in the Open inbox, and pushed to your CRM/helpdesk as a structured task or comment. Your existing reporting still sees the call leg; Open adds the structured outcome on top.

Languages are handled the same way as live calls — over 100 languages, transcription quality tuned per language, intent classification trained per language. There's no "English voicemail tier".

02 — Why it works

What makes Open the right use case answer

  • Voicemail becomes a task, not an audio file

    Transcribed, classified, and turned into the right action automatically — within 30 seconds of hangup.

  • AI callbacks for routine intents

    When the message is something the AI can resolve (status check, scheduling, FAQ), it calls back as AI within 60 seconds.

  • Smart human escalation

    Urgent or sensitive messages page the right human in Slack/email/SMS with the transcript and intent already attached.

  • CRM-native

    Every voicemail filed as a structured comment in your CRM/helpdesk. No more "did anyone listen to this?" check-ins.

03 — Security

Encrypted, audited, refundable

SIP over TLS for signaling, SRTP for media. Every call logged with full reasoning traces. SOC 2 Type II, GDPR-aligned, HIPAA- and PCI-ready. Backed by the Open $2M Refund Guarantee.

04 — FAQ

AI Voicemail questions, answered