AI call center

Voice AI operations for multiple numbers and workflows

OMO’s AI call center is a multi-number voice operations platform, not a single isolated bot. A company can attach a different workflow to each number, manage inbound and outbound calls, and review active sessions, outcomes, recordings, transcripts, technical diagnostics, and shared credit usage in one workspace.

Who is this for?

Multi-location or multi-product organizations that need several phone workflows managed through one consistent operational system.

What problems does it solve?

  • Fragmented reporting across numbers and teams
  • Quality checks based only on a small sample of recordings
  • Configuration and customer data becoming mixed as usage grows

What can OMO do?

A practical system, not an isolated model.

01

Multiple SIP numbers

Each number belongs to a workspace, product, agent, and explicit conversation policy.

02

One operations workspace

Calls, campaigns, bookings, surveys, and routing outcomes are visible in one system.

03

Tenant isolation

Company data, configuration, and usage remain within the workspace boundary.

04

Scale-aware telemetry

Latency, errors, outcomes, and service health are measured by component.

How it works

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

  1. 01

    Inventory the numbers

    Validate SIP connections and assign an operational purpose to every number.

  2. 02

    Attach a product

    Choose booking, sales, survey, voice menu, or a demo router for each number.

  3. 03

    Control capacity

    Concurrency and provider limits are load-tested so growth does not silently reduce quality.

  4. 04

    Operate quality

    Session evidence drives versioned workflow improvements and incident diagnosis.

Evidence retained

Every completed action has an operational record.

  • Number-to-product configuration
  • Session, outcome, and latency metrics
  • Tenant and release-version diagnostics

System boundaries

What OMO does not assume or promise.

  • Concurrency depends on purchased infrastructure and provider limits.
  • An AI call center does not replace human support in every exceptional case.
  • Performance targets must be confirmed through load testing.

Direct answers

Questions businesses ask before implementation.

How many phone numbers can OMO manage?

The workspace model supports multiple SIP numbers. Practical count and concurrency depend on the selected plan, telephony provider, and verified infrastructure capacity.

Does every number use the same agent?

Not necessarily. Each number can have its own product, flow, voice, hours, and routing policy while sharing a common infrastructure and operational model.

Can human operators remain in the workflow?

Yes. In a hybrid model, OMO handles repeatable work and routes complex, emotional, or specialist cases to a person.