AI agent for customer service

We build the agent that drafts your support replies, and we leave the sending to a person until you trust it.

  • carVertical
  • 1stopVAT
  • Leapsly
  • Peoplelink
  • Viking

Short answer

An AI agent for customer service reads an incoming message, finds the answer in your own documents, and drafts the reply in your tone. A person approves it until the quality earns the right to send on its own. It is not a chatbot bolted onto your website.

Key takeaways

  • Answers come from your approved documents, so the agent cannot invent a policy you do not have.
  • It drafts, a person sends. Autonomy is earned per question type, not switched on everywhere.
  • An ecommerce support team cut first response 60% and freed 33 hours a month.
  • Anything it cannot answer goes to a person, and that answer is written back into the documents.

What it does

  1. 1
    Reads the message properlyThe order number in the subject, the screenshot attached, the half sentence at the bottom that changes the whole request.
  2. 2
    Finds the answer in your own materialPolicies, product documentation, past tickets and the replies your best agent already wrote.
  3. 3
    Drafts in your toneNot a generic support voice. The one your customers already recognise from you.
  4. 4
    Escalates instead of guessingWhen the answer is not in your documents, it says so and hands the ticket to a person.
  5. 5
    Learns from the escalationThe answer a person writes goes back into the knowledge base, so the same question never escalates twice.
Customer message Agent drafts from your docs A person sends Not in the docs, escalated the answer a person writes is added back

What the agent takes and what stays with a person

The agentA person
Repeat questionsDrafts from your documentsApproves, then stops reading them
Order and account lookupsPulls the record and writes the replyChecks the first weeks
A complaintFlags it and summarises the historyAnswers it
Anything not in the docsSays so and escalatesAnswers, and the answer is kept
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What it returned

An ecommerce support team. Agents retyped answers to the same product questions all day. Their assistant answers from the company knowledge base and drafts the reply, cutting first response 60%, freeing 33 hours a month and about 10,000 EUR a year.

An accounting firm. The same pattern turned inward, on a team answering each other instead of customers. 60% fewer repeated internal questions, with every answer traced to an approved document. Read the case study.

What you need before we start

  • Your answers written down somewhere. Policies, product documentation, a help centre, or two years of past tickets. Any of those work, and messy is fine.
  • Access to where support happens. The shared inbox, the helpdesk, the chat tool.
  • One person who owns the quality. They approve the drafts in the first weeks and decide when the agent can send on its own.

AI customer service FAQ

Will it answer customers without us checking?

Not at first. It drafts and a person sends. You switch on automatic sending per question type, once that type has been right enough times to be boring.

What stops it inventing an answer?

It only answers from documents you approved. When the answer is not there it says so and escalates, which is the behaviour we test hardest before go-live.

Do we need a help centre first?

No. Past tickets are usually a better source than a help centre, because they contain the answers your team actually gives.

Which tools does it work with?

The shared inbox, helpdesk or chat tool you already use. We build on it rather than moving you onto something new.

How many languages?

As many as your customers write in. It replies in the language of the message.

Take your business to the next level