Speaks · outbound
AI intelligent-calling bot
A voice AI agent places outbound calls on its own and holds a natural conversation on your script: it qualifies leads, runs surveys, sends appointment reminders and wins back dormant customers. Callers can interrupt it, the agent captures the data you need into fields and your CRM, and every conversation flows straight into the shared analysis loop — outbound calling becomes fuel for the AI flywheel.
NPS survey after delivery
today's numbers
- +1 415 128-••-••Reached — qualified
- +1 312 447-••-••Callback scheduled for 3:00 pm
- +1 646 615-••-••Unavailable — retry tomorrow
Key facts
- What it does
- Places outbound calls, holds a scripted conversation, captures data and transfers to a human on conditions.
- Scenarios
- Lead qualification, NPS/CSAT surveys, appointment reminders and confirmations, reactivation, notifications, soft payment nudges.
- Dialogue
- Natural speech with barge-in (callers can interrupt), a configurable TTS voice, language (BCP-47) and dialogue LLM model.
- Data capture
- Configurable fields with required/validation rules; results land in record fields and your CRM.
- Closes the flywheel
- The agent's call recordings are transcribed automatically, scored with metrics and topics, and pulled into analytics.
Outbound scenarios for your goals
One agent covers different outbound jobs — you describe the goal, persona and greeting, and it runs the conversation itself.
- Lead qualification: the agent filters out non-target contacts before a human gets involved.
- NPS/CSAT surveys and reactivation of dormant customers — on autopilot, without adding headcount.
- Appointment reminders and confirmations, notifications and soft payment nudges.
A live dialogue you can interrupt
The conversation flows naturally: the caller answers in their own words, clarifies and interrupts, and the agent keeps up — not a button tree.
- Barge-in: the caller can interrupt the bot at any moment and it responds correctly.
- A configurable TTS voice, conversation language and LLM model to fit your tone and market.
- Transfer rules to a live operator or another scenario based on conditions.
Data capture into fields and CRM
The agent doesn't just talk — it structures the conversation into data you can use immediately.
- Configurable fields with required/validation rules are collected right inside the dialogue.
- Captured data lands in record fields and is pushed to your CRM.
- Nothing is lost: the transcript and fields are available the moment the call ends.
Every call goes straight into analytics
The calling bot doesn't live in isolation: its calls enter the same analysis loop as every other conversation.
- Automatic transcription, metrics, topics and auto-tags on every agent call.
- Dashboards and semantic search across the entire outbound archive — 100% coverage, not a sample.
- Data and knowledge from calls feed back into configuring the agent itself — the flywheel closes.
Product
AI intelligent-calling bot
- 1
Describe the scenario
Set the calling goal, the agent's persona, the greeting and the fields you need to collect.
- 2
Pick a voice and language
Configure the TTS voice, conversation language (BCP-47), the recognition engine and the dialogue LLM model.
- 3
Launch the campaign
The agent calls and holds a natural conversation, captures data and transfers to a human on conditions.
- 4
Analyze and improve
Recordings enter analytics, and the metrics and knowledge from them help you calibrate the scenario.
FAQ
Frequently asked questions
How is this different from a regular IVR auto-dialer?
The agent holds a natural conversation in the caller's language, understands free-form answers and lets itself be interrupted (barge-in) instead of routing through a tone-button tree. It captures structured data into fields and decides on its own when to transfer the call to a human.
Which outbound scenarios are supported?
Lead qualification, NPS/CSAT surveys, appointment reminders and confirmations, customer reactivation, notifications and soft payment nudges. The scenario, persona, greeting and captured fields are configured for your task.
Where does the captured data go?
Into record fields and your CRM. Every call is also transcribed automatically and scored with metrics and topics, so the transcript and captured fields are available the moment the conversation ends.
Can a call be transferred to a live operator?
Yes. You define transfer rules — based on the dialogue's conditions the agent transfers to a human or switches to another scenario.
How does outbound calling connect to the rest of the platform?
The agent's calls enter the same analysis loop as every conversation: transcription, metrics, topics, auto-tags, dashboards and semantic search. And the knowledge and data from calls feed back into configuring the agent — that's the AI flywheel.
Related capabilities
Ready to start?
Turn every conversation into data, knowledge and action
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