What outbound use cases work best?

Callbacks, payment reminders, KYC, post-purchase surveys, appointment confirmations, win-back, delivery notifications, renewal reminders, lead qualification — anything routine, time-sensitive, or volume-bound.

How does it handle do-not-call and TCPA?

DNC lists are managed at the agent level (with optional federation to a global list). TCPA-required disclosures are configurable per agent. Opt-out detection runs on every call and updates the DNC automatically.

Can the AI handle voicemail detection?

Yes — voicemail vs. live human is detected on every outbound call. You configure whether to leave a voicemail, retry, or skip.

How fast can it dial after a trigger fires?

Median time from event to dial is under 60 seconds, including DNC checks and time-of-day rules.

Can it run multilingual outbound?

Yes. The agent picks the language per call (based on customer preference in your CRM or detection) and runs the conversation in that language.

How is outbound priced?

Per resolved conversation. Carrier minutes stay billed by your phone provider with no markup.

Use case

AI Outbound Calling

AI outbound calling for the calls humans currently dial — callbacks, payment reminders, post-purchase, KYC, win-back, surveys. Fully observable, fully integrated.

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Concurrent dials: 500+
Languages: 100+
Compliance-ready: TCPA
Reply latency: <200ms

01 — Overview

What kind of outbound calls is AI good at?

Anything routine, time-sensitive, or volume-bound. Lead callbacks, appointment confirmations, payment reminders, KYC verifications, post-purchase surveys, win-back outreach, renewal reminders, delivery notifications — calls humans currently dial in batches with a script.

The hard problem in outbound calling is volume vs. quality. A small team of human dialers can have great conversations, but they can only have so many in a day. A predictive dialer can reach scale, but it sacrifices the conversation — and the recipients can tell. AI outbound calling lifts the ceiling on both axes: every call gets a real conversation, and the volume scales linearly with no hiring.

Open dials through your existing carrier (or one we provide), presenting whichever caller ID your carrier has approved on the trunk. When the recipient picks up, the AI starts the call with whatever opener you've configured (greeting, identity, opt-out option, the actual purpose), runs the conversation, calls your tools live (CRM lookup, payment link, calendar booking, ticket update), and logs the outcome with a structured tag.

Compliance matters more on outbound than inbound. Open supports TCPA-required disclosures, configurable do-not-call lists, time-of-day restrictions per region, opt-out detection, and consent capture. PII redaction on transcripts before they leave the Open environment is on by default.

Campaigns can be triggered programmatically (via API or webhook), on a schedule (cron or your CRM workflow), or in real time as events happen (a payment fails — call the customer; a high-value lead submits a form — call them within 60 seconds). The trigger lives in your tooling; Open is the dialer.

Reporting is closed-loop. Connection rate, average duration, outcome distribution, voicemail rate, opt-outs, costs per resolution — all available in the Open dashboard and pushed back to your CRM as call attributes. The same transcript-and-trace observability that exists for inbound calls applies to outbound.

What stays the same

Your carrier
Dials through your existing carrier — Twilio, Vonage, RingCentral, Telnyx, Bandwidth, Plivo, Sinch, etc.
Your CRM and lead source
Triggers come from where your data already lives. The CRM stays the system of record.
Your approved caller IDs
Outbound calls present whichever caller IDs your carrier has approved on the trunk.
Your reporting
Carrier-side CDRs continue. Open adds AI-side reasoning traces and outcome tags on top.

What's new with AI outbound

AI is the dialer
No agents waiting between calls. The AI dials, opens the call, runs the conversation, closes it, logs it.
Volume scales linearly
Adding capacity is configuration, not headcount. 500+ concurrent dials per agent.
Compliance is built-in
TCPA disclosures, DNC lists, time-of-day windows, opt-out detection, consent capture.
Per-call observability
Recording, transcript, reasoning trace, outcome tag, cost-per-call — every dial.

02 — Why it works

What makes Open the right use case answer

Real conversations at dialer scale
500+ concurrent dials per agent, every one of them a real back-and-forth conversation, not a script.
Triggered by your data
Connect to your CRM, helpdesk, billing, or product events. The trigger lives where your data already does.
Compliance done
TCPA disclosures, DNC, time-of-day, opt-out detection, consent capture — wired in, not bolted on.
Closed-loop reporting
Outcome tags pushed back to your CRM. Replay any call's reasoning to understand why a deal moved or didn't.

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