AI Outbound Calling

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.