TeleAI
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BPO

Your AI Operation Partner. Across client service delivery.

Add AI-supported outreach to the work your delivery team owns, with clear human responsibilities and acceptance criteria. As your AI Operation Partner, TeleAI helps define the work package, prepare and run AI Call, and review quality and delivery before the next cycle.

Plan Your AI-Assisted Delivery See an AI-to-Human Task Handoff

BUILT AROUND YOUR OPERATION

Define the work split, then prove the delivery.

A client program needs more than an AI task list. Agree what AI handles, what people accept, and how the completed work returns to the delivery review.

  1. Work allocation

    Choose the repeatable contact work.

    Identify a defined outreach package with approved information and explicit exceptions for human handling.

    For the next step
    An AI work package and named human responsibilities.

  2. Quality acceptance

    Check the work against client requirements.

    Validate representative conversations, required result fields, and exception handoffs with the delivery owner.

    For the next step
    Accepted samples and corrections needed before expansion.

  3. Delivery review

    Review completed work and the human load.

    Compare agreed quality and completion records with the team effort needed to finish exceptions.

    For the next step
    An evidence-based decision on the next work package.

FROM CONTACT TO FOLLOW-UP

An exception becomes a defined human task.

In an illustrative client service program, an outbound check identifies a request outside the approved AI work package.

Illustrative workflow

AI calls the customer · Opens with a client-program service check

Customer response

“I need someone to explain that change.”

Context for your team

Human task
Explain a change outside the approved AI information.
Next owner
The designated client-program specialist.
Acceptance check
Question, context, and owner recorded.

Next action

Pass the agreed context to the specialist, then bring the completed follow-up record into the delivery review.

YOUR AI OPERATION PARTNER

Work alongside the people accountable for client delivery.

TeleAI helps turn client requirements into an executable AI work package, supports the run, and reviews what the delivery team accepts and has to rework.

Translate the service commitment.

Agree access, approved information, audience rules, AI tasks, human exceptions, and acceptance evidence with your delivery team.

Prepare, validate, and execute.

Review sample conversations and result delivery, then run the agreed outreach with clear routing for tasks needing a person.

Improve the next delivery cycle.

Review conversation quality, rejected work, handoff completion, and human effort. Adjust the task split and preparation before extending the scope.

BUSINESS PROGRESS

Assess accepted work, rework, and delivery effort together.

Agree a comparable work package and baseline before the pilot. Use the delivery criteria your team has committed to.

Accepted output

Conversations and records meeting the agreed client quality criteria.

Rework and exception completion

Returned work, reasons for rejection, and exceptions completed by the responsible person.

Human delivery effort

Follow-up load and agreed effort measures alongside completed client tasks.

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Before you define the client work package

Can we pilot one task inside an existing client program?

Yes. Select repeatable contact work, agree the human exceptions and acceptance criteria, and validate samples with the delivery owner.

Is this a ready-made white-label platform?

This scope concerns AI execution and operating support. White-labeling, multi-client administration, and client-specific platform functions require separate definition and validation.

How is work accepted before expansion?

Agree representative samples, required fields, exception handling, and the evidence the delivery owner will review. Resolve gaps before increasing the work package.

Bring one client work package to the table.

Share the service requirement, current team split, and acceptance criteria. We will define a practical AI-assisted pilot with your delivery team.

Plan Your AI-Assisted Delivery