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How Can a Support Team Cut Repetitive Calls With an AI Agent?

T
Thinnest AI Team
Oct 19, 2026 6 min read
How Can a Support Team Cut Repetitive Calls With an AI Agent?

Short answer: find the questions your team answers over and over, write the answers into a knowledge base, connect the systems that hold the answers that change (order status, booking, ticket status), and put an AI agent on your support number. It answers those calls in the caller's language at any hour, looks things up live, and transfers the call to a person — or sends the chat to your shared inbox — when the question needs one.

Why repetitive calls are the place to start

In most support queues, a handful of questions make up a large share of the calls: where is my order, what are your timings, how do I return this, has my refund been processed. Each one is quick, but together they keep your team from the calls that need judgement. Those are exactly the calls an agent can answer well, because the answer is either written down or sitting in a system it can look up.

How to set it up, step by step

  1. List the repeat questions. Ask your team, or read through a week of call notes, and write down the questions and the right answers.
  2. Build the knowledge base. Add your help pages by crawling your site, paste in policies, and upload FAQs and price lists. One knowledge base serves every language.
  3. Connect the live answers. Questions like "where is my order" need a lookup, not a document. With tool calling the agent queries your order system or CRM during the call — Shopify is a ready integration, and anything else connects through its API.
  4. Put the agent on the support number. A number you buy in the console, or one you import from Plivo, Twilio or Telnyx. Website visitors can also call from the browser or ask in chat.
  5. Set the hand-over. Decide what always goes to a person — complaints, refunds above a limit, anything the agent can't answer — and give it the number to transfer to.

When the agent can't answer

  • It hands over instead of guessing. The call is transferred to your team (on ThinnestAI, Plivo and Telnyx numbers), or the chat goes to the shared inbox.
  • The gap is recorded. The agent's analytics list the questions it could not answer, which tells you exactly what to add to the knowledge base next.
  • Every call is on file. Each call has a transcript and an outcome, so a supervisor can check what the agent said. Recording is a per-agent switch, off by default.

Cut the calls before they happen

Some calls exist only because the customer wasn't told. An order confirmation or a status update sent from your own systems through the WhatsApp messaging API answers the question before anyone picks up the phone — and if they reply, the same agent answers on WhatsApp.

What you need to start

Your list of repeat questions, access to the system that holds order or ticket status, and a support number. See the call center page for full call flows, the knowledge base page for what you can upload, and pricing for how many calls an agent takes at once on each plan.

FAQ

Frequently Asked Questions

What kind of support calls can an AI agent handle?

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Questions with a written answer — timings, policies, how-to steps — and questions it can look up live, such as order or booking status through tool calling. Anything else is handed to a person.

Can it answer callers in regional languages?

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Yes. The agent answers in all 22 scheduled Indian languages, including Hinglish, from one knowledge base.

What happens when the agent does not know the answer?

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It hands the call to your team or sends the chat to the shared inbox, and the question appears in the list of questions it could not answer so you can fill the gap.

Can it look up an order while the customer is on the call?

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Yes. With tool calling the agent queries your order system or CRM during the call. Shopify is a ready integration; other systems connect through their API.

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