Never Miss Another Paid Lead

AI VoiceOps supports inbound and outbound calling workflows such as lead qualification, appointment booking, customer support, reminders, follow-ups, and post-call analysis. Agents can follow scenario-specific scripts and rules while producing recordings, transcripts, summaries, intent signals, outcomes, and next actions for your team.

Pricing is tailored to the workflow and expected usage. The main factors typically include call volume, call duration, languages, telephony requirements, integrations, concurrency, and support needs. Book a Demo and we’ll recommend a plan based on your use case rather than forcing every team into the same package.

Onboarding starts with your target use case, call flow, success criteria, languages, data sources, and escalation rules. We then configure the agent, connect the required systems, test representative call scenarios, review outputs with your team, and move to production once the workflow is ready.

AI VoiceOps is designed to connect with CRM, lead management, scheduling, support, and other business systems so agents can use relevant context and write outcomes back to your workflow. Integration scope depends on the systems you use; during onboarding, we map the required data flow and confirm the best connection method for each system.

Yes. Workflows can be designed to hand off or escalate calls when a customer asks for a person, a defined condition is met, or the conversation falls outside the agent’s configured scope. The exact transfer flow depends on your telephony setup and operating process.

Access should be limited to the data needed for the configured workflow. We recommend defining data permissions, retention needs, user access, and integration scope before production launch. Security and deployment requirements can be reviewed during the solution design process so the setup matches your organization’s policies and operational needs.