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Voice AI
Customers send voice messages on the go and expect immediate phone support without an IVR maze. volbor turns audio into structured data, responds with natural voice, and hands off complex edge cases to humans with full context. Not an illusion of "magic AI", but rock-solid STT, visual workflows, and SIP trunking.
Two Modes
Messaging tolerates a pause. Phone calls do not. That's why each requires tailored conversational logic.
Telegram, WhatsApp, and web widget: Speech-to-Text, intent detection, and instant replies in text or matching voice. Agents see the full transcript right beside the audio track—reading a sample 40-second message takes roughly 6 seconds, saving ~85% of listening time.[1]
SIP trunking and telephony providers: inbound and outbound calls. Real-time streaming transcription, natural pauses, and barge-in handling. The assistant doesn't recite a rigid "press 1 for billing" menu if the customer is already speaking.
Lifecycle
Immediate pickup without a long ring cycle.[2] Next comes CRM lookup, intent recognition, knowledge base retrieval, natural voice synthesis, and call logging.
The system answers immediately; callers aren't left waiting on hold music.
Instantly pulls contact name, account history, and past purchases if the number is on file.
Speech-to-text converts audio and extracts the core request—pinpointing facts, not vague summaries.
Answers sourced strictly from verified documentation, preventing hallucinated pricing.
Lifelike synthesized speech with realistic phrasing and pauses—not a robotic voice from 2012.
Audio recording, searchable transcript, and automatic tags saved directly to the lead card.
Human Handoff
Workflow dead ends or frustrated sentiment don't force callers to "press zero and start over".
Routes to an available specialist with matching skills, not a random extension.
Displays the CRM card, transfer reason, and a concise summary of verified details.
Callers never have to repeat their name, contract number, or issue a second time.
Compliance & Ethics
volbor is built for opted-in customer lists, inbound inquiries, and consent-based service calls. High-volume, unsolicited cold telemarketing is not supported.
Automated audio disclaimer played before recording begins.
Encrypted call recordings and transcripts. Playback permissions restricted to supervisors via ACL.
Outbound automated calls execute strictly within customer-local daylight hours.
Smart AMD detects voicemails to avoid burning telephony minutes on carrier tones.
Draft notes saved to CRM; automated callbacks run on strict rule limits, never endless loops.
Even with natural human-like voice synthesis, the system transparently identifies itself as an AI assistant.
FAQ
Speech synthesis is remarkably lifelike, but compliance and ethical guidelines require clearly disclosing that it is an AI assistant.
The bot politely asks for clarification or sends key details directly to the caller via an SMS link or messaging app.
Yes. Easily connect via SIP trunking to your existing virtual PBX or telecom provider.
A standard inbound handling or outbound notification flow in the visual builder takes 1–2 business days without code. This is an implementation estimate, not a service SLA.
Speech recognition and natural TTS are supported in dozens of languages with automatic language detection when configured.
Yes. Both inbound and outbound calls include audio recordings and searchable transcripts attached to CRM cards with role-based access control.
Transcribed dialogue up to the disconnect is preserved in CRM; an automatic redial triggers after one minute if enabled in your settings.
No. The platform is designed for opted-in customer lists, inbound support, and consent-based service notifications.
Connected Tools
The assistant wraps up the call. Queue routing, chatbots, video widgets, and SLA response timers work alongside it in the same workspace.
Why You Need ItPut a friendly face on your website while voice handles phone and audio notes. Consistent brand touchpoints across channels.
If You Don'tYour website stays static while phone calls sound like disconnected robocalls.
Why You Need ItTranscripts and recordings sit right beside chat threads—not locked inside a detached PBX.
If You Don'tAgents waste time listening to audio in one app while hunting for chat history in another.
Why You Need ItShared logic: voice notes in messengers and interactive chat buttons in one unified builder.
If You Don'tYour phone system says one thing while WhatsApp provides contradictory answers.
Why You Need ItStrict response timers and escalation rules when an agent accepts a warm transfer.
If You Don'tThe bot hands off a call, but queue hold times spiral without SLA monitoring.
Get Started
Estimated payroll impact: 80 hours of frontline agent time × $60/hr = $4,800 saved per month when routine inbound calls are handled by Voice AI, leaving human agents to focus on high-value exceptions.[3]
Open DashboardMethodology & Assumptions
Sample 40-second audio clip vs reading the same transcribed text in ~6 seconds: (40 − 6) / 40 = 85%. Message length is defined for this example. Does not represent all customer dialogue lengths or third-party call center benchmark studies.
Represents our product engineering goal for inbound SIP auto-answer latency, not a measured carrier network P95 metric. Actual latency depends on your telecom provider.
Calculated as 80 hours of agent time spent on repetitive routine calls × an assumed $60/hour loaded labor rate = $4,800. Hours and labor rate are illustrative modeling assumptions, not guaranteed savings for every volbor customer.
