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Use case · Services

From support ticket to booked technician visit, in the same conversation

How an internet provider serves customers without the phone wait: the agent opens the ticket, understands the equipment photo and schedules the technician.

Illustrative scenario. The company, the people and the conversation are fictional and were built to show how OmniAgent works. This page has no measured customer results.

Services
Residential and business internet provider (fictional)
Channel
WhatsApp
What the agent executes
Open a support ticket, schedule a technician visit, reissue an invoice, look up a case number

The context

The support operation of a service provider gets the same kind of contact every day: the connection dropped, the invoice never arrived, when is the technician coming. Each of these requests has a known path in the company systems, but the customer only reaches it after a phone queue and a numbered menu.

In this scenario, the company wants customers to resolve it on WhatsApp, at a time that suits them, and wants the field team to receive tickets that already carry the data they need.

What slows support down today

  1. 01

    A queue for the basics

    Opening a ticket means waiting for an agent who will ask the same questions as always.

  2. 02

    Incomplete ticket

    The field team gets the ticket with no initial diagnosis and wastes a trip to the site.

  3. 03

    Customer left waiting

    After booking the visit, the customer calls again to ask what time the technician is coming.

The conversation

The customer reports that the internet is down. The agent identifies the contract through a secure form, reads the equipment photo and books the visit.

What the agent executes

Each step of the conversation maps to an operation in the company systems.

  1. 01

    Identifies the contract

    The CPF goes in through a secure form and straight to the system, without passing through the AI.

  2. 02

    Reads the equipment

    The modem photo becomes an initial diagnosis attached to the ticket.

  3. 03

    Opens the ticket

    The ticket is created in the support system with the data and the diagnosis.

  4. 04

    Books the visit

    The time comes from the field team's real calendar and is reserved.

What stays outside the AI

The AI runs the conversation and understands the photo. The company system decides: whether the customer has an active contract, whether the area has a technician available and which times exist. The agent only offers what the system returns.

The CPF never enters the conversation text or what the language model reads. If the case goes off script, for example a billing complaint, the agent transfers to a person with a summary of what was already handled.

How to start

  1. 01

    Pick one request

    Start with the most repeated support contact, such as opening a ticket and booking a visit.

  2. 02

    Declare and simulate

    The team describes what the agent collects and which operation it calls, and tests before publishing.

  3. 03

    Pilot with a controlled group

    A controlled group of customers uses the agent while the team follows the conversations.

Industry questions

Services and technical support

Can the agent handle advanced technical support?

It follows the script the company defines and opens the ticket with the initial diagnosis. Problems outside the script go to a technician, with a summary of the conversation.

Does it work with the ticketing system we already use?

The agent calls the operations of your system's API. The demo shows the flow with your use case.

Next step

See support running with your tickets

Schedule a demo with your services use case.

  1. 01Chat with the assistant: it asks for your details and what you are looking for
  2. 02The sales team receives your contact right away
  3. 03Demo with your use case
  4. 04Proposal and start of the pilot with a controlled group of customers

Schedule a demo

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