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OMO — Omni Media Orchestrator

One voice.Four business workflows.Complete control.

Voice AI that turns every call into a completed business workflow and attaches a verifiable record to every outcome.

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HomeVoice AIOutbound sales AI

Outbound sales AI

An outbound campaign where every answer has a next action

OMO’s outbound sales agent calls an approved contact list, follows the campaign objective, identifies interest, need, timing, and objections, and stores the next action. Calls run inside allowed windows, do-not-call requests persist, and uncertain answers are not promoted into qualified leads.
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Who is this for?

B2B sales, service renewal, demo scheduling, and callback teams that need consistent processing of contact lists.

What problems does it solve?

  • Manual spreadsheet calling and inconsistent pacing
  • Lost interest, objection, and next-step information
  • Campaign performance understood only after listening to recordings

What can OMO do?

A practical system, not an isolated model.

01

Campaign lifecycle

Goal, schedule, attempts, number, flow, and status are managed from the workspace.

02

Contact-list import

XLSX data receives a preview, format validation, and duplicate checks before launch.

03

Structured lead outcome

Interest, need, timing, objection, and next action are stored as separate fields.

04

Callback lifecycle

A callback has a scheduled time, attempt history, status, and resulting owner or outcome.

How it works

From the caller’s first sentence to a verified result.

  1. 01

    Create the campaign

    Define the audience, offer, calling window, and success criteria.

  2. 02

    Place the call

    LiveKit SIP creates the outbound call from the configured business number.

  3. 03

    Qualify the lead

    A Pipecat flow records only confirmed signals and handles defined objections.

  4. 04

    Set the next action

    The outcome becomes a meeting, callback, transfer, rejection, or do-not-call state.

Evidence retained

Every completed action has an operational record.

  • Contact attempts and call result
  • Lead qualification and captured answers
  • Callback, meeting, or rejection status

System boundaries

What OMO does not assume or promise.

  • Campaigns must use contact data obtained and processed lawfully.
  • The agent does not invent interest or budget from an unstated answer.
  • Calling windows and do-not-call requests are mandatory controls.

Direct answers

Questions businesses ask before implementation.

Can contact numbers be uploaded from Excel?

Yes. XLSX data is previewed and validated first; invalid numbers and duplicates are visible before launch, and campaign outcomes can be exported.

How is a lead qualified?

Qualification uses signals actually stated in the conversation, including interest, need, timing, decision role, and objections. Unconfirmed values remain empty.

What happens when someone asks for a later call?

A callback task is created with a scheduled time and status. The next attempt follows the campaign and allowed-hours policy.

Related OMO products

See the operational product behind this use case.

02Outbound sales and lead qualification

From campaign contact to a qualified lead and a clear next action.

Related knowledge

Understand the architecture and quality controls.

01How a voice AI agent is tested before launching in a real environment

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

02LiveKit and Pipecat: How telephony and conversation management are distributed

Roles of LiveKit SIP and Pipecat Flows in a voice AI system: media, real-time data flow, defined state, tool invocation, data storage, and scaling.

Explore related topics

AI operatorGeorgian voice AIAI voice agentAI receptionistCall automationAI call center