OMO — Omni Media Orchestrator
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Sales teams

AI calling and lead qualification for the sales team

An OMO outbound sales agent calls the uploaded or API-derived contacts during the allowed hours, follows an approved script, captures interest, need, deadline and objections, and feeds the results back to the campaign. A human team receives a structured context, not just a raw record.
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Who is it for?

B2B sales, lead generation, demo appointment and customer reactivation teams.

What does it solve?

  • Manual processing of a large list
  • Inconsistent introduction and qualification questions
  • Callback commitments that are never followed up
  • Campaign outcomes that are unclear without replaying every call

How it works

What does OMO do from the start of a call to the final outcome?

  1. 01

    Campaign preparation

    The team defines the audience, work window, scenario, objective and deliverables.

  2. 02

    Run the call

    The OMO Core telephony layer places the call, while its conversation layer manages the stages and possible branches.

  3. 03

    Qualify the lead

    The signals received by the agent are stored as structured fields, and an ambiguous response is not automatically considered a positive response.

  4. 04

    Next action

    The system creates a callback task, books a demo, assigns the lead to a team member, or records the rejection using an agreed outcome.

Your control

What your team manages from the dashboard

  • XLSX import and export of contacts
  • Campaign time zone, number of simultaneous calls and retry policy
  • Conversation script, response to objections and evaluation fields
  • Do-not-call list, audio, transcript and outcome synchronisation

System boundaries

What OMO will not assume or invent

  • The call is initiated only within the configured calling window and available credit.
  • An unanswered attempt is never counted as a completed call.
  • Human involvement remains for high-cost, complex or emotional negotiations.

Relevant products

Voice products used in this workflow.

Outbound salesFrom campaign contact to a qualified lead and a clear next action.BookingsFrom an incoming call to a confirmed calendar booking.

Knowledge Center

Detailed technical and operational materials.

01What is the Georgian voice AI agent and how does it work?

Full explanation of Georgian voice AI agent: from telephony to speech recognition, process decision, actual action and audit trail.

02How automatic appointment booking by phone works

The right phone booking architecture: demand understanding, live calendar checking, alternatives, patient data and atomic confirmation.

03How a voice AI agent is tested before launching in a real environment

Voice AI quality plan: dialogue scenarios, audio, delay, overlapping speech, error recovery, action correctness and agent simulation.

Frequently asked questions

Direct answers about implementation.

How are campaign numbers loaded?

Contacts can be added from an XLSX file or integration. Before launch, the preview checks formatting and separates valid rows from entries that need correction.

Can an agent schedule a demo or appointment?

Yes. When a lead is qualified and interested, the outbound flow can check calendar availability and complete a confirmed booking.

How are unwanted calls controlled?

The campaign adheres to the work window, deny list, attempt limit, and retry rule defined by the workspace.

Sales teams — evaluate OMO against your real workflow

Tell us how your calls work today, and we will map the first voice workflow around your real requirements.

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Put this use case into a controlled workflow

Explore the relevant design choices, technical boundaries and recovery paths. These guides explain what to evaluate; they do not imply that every proposed integration is already available.

What could your voice AI workflow look like?

Explore three detailed voice AI workflows for service bookings, lead follow-up and support requests, including branches and exception handling.

Connect your voice agent to the systems you use

Plan voice AI connections to calendars, CRMs and business systems. Understand access, data validation, testing and custom integration requirements.

When and how a human should take over

Design human handoff for voice AI: caller requests, uncertainty, exceptions, context transfer and a fallback when nobody is available.