Practical exampleCustomer service and administration

Use AI to sort customer enquiries and prepare replies

Spend less time sorting messages and preparing repeated follow-up questions: AI can identify the issue and missing details in an email, then draft a reply. Your team reviews the draft and decides whether to send it.

When every enquiry needs manual sorting

Delivery questions arrive in the shared mailbox alongside complaints and new orders. Before replying, someone needs to identify the issue, find the right colleague and check for missing details.

The aim is a prepared enquiry: the person handling it sees the original message, open questions and a reply draft together. Whether this saves work depends above all on the review effort required.

Typical challenges:
  • Customers describe the same issue in many different ways.
  • Order numbers or other necessary details are missing.
  • The same preparation is repeated for each new message.

A delivery question – from incoming email to reply draft

The message and its handling below are entirely fictional. They illustrate the intended output, not measured results from a client project.

1. Incoming message
“Hello, we ordered replacement filters last week. Will they arrive by Friday? I cannot find the order confirmation at the moment. Kind regards, Lea Muster”
2. Details identified and open question
Issue: delivery status. Responsible team: order processing. Available details: replacement filters, ordered last week according to the sender. Missing: order number. Friday is the requested date, not a confirmed delivery date. Without a unique order match, the delivery status remains unknown.
3. Prepared reply
“Dear Ms Muster, thank you for your message. To check the delivery status of your replacement filters, we need your order number. Could you please send it to us? We cannot yet confirm whether the delivery will arrive by Friday. Kind regards, Your Customer Service Team”
4. Approval by a team member
A team member compares the draft with the original message, checks the recipient and follow-up question, and sends the reply. Once a unique order reference is available, they can check the actual delivery status in the order system.

What AI, fixed rules and people each do

AI can suggest that a freely worded sentence such as “Will they arrive by Friday?” is a delivery question. Fixed rules specify the details required and the team responsible. A mailbox rule can also handle this when the incoming information is already clearly structured.

AI prepares the content

Suggest the issue and available details from permitted message text and readable attachments. Keep the original message available for comparison.

Rules determine the next step

Flag missing required information and select the responsible work queue. Route unclear or multiple issues to manual handling. A similar customer name is not enough to match an order.

People review the reply

Edit and approve the draft. Confirmed delivery details come from the responsible order system; email content must not change internal approval rules.

Possible components
Mailbox connectionAI for text preparationWorkflow rules and approval

When is AI worthwhile – and when is a simpler solution enough?

A trial makes sense when many recurring issues arrive in varying language. Your team needs clear categories and enough comparable cases to assess quality.

For a small number of enquiries, reply templates and clear responsibilities may be sufficient. If customers can use a form with an order number and issue category, fixed rules can often handle checking and routing. AI is worth assessing when free text creates a substantial part of the work.

What Peak Pioneers contributes

As part of our digitalisation consulting, we review the selected workflow with your team and assess value, effort and prerequisites. For this case, that means defining enquiry types and required details, then checking the mailbox, interfaces and permissions.

The agreed implementation scope can include the workflow, checks of typical cases and exceptions, documentation and team introduction. Whether existing tools such as Power Automate fit depends on connectors and licences. We clarify scope, operations and costs before you commission the work.

What you need for a first trial

Start with an approved, anonymised selection of delivery questions and suitable example replies. Include missing order numbers, two issues in one message and unreadable attachments. No connection to the production mailbox is needed initially.

  • A subject-matter owner defines categories and good replies.
  • Permitted data, draft storage and manual exception handling are agreed.
  • Add further connections only once reply quality and effort justify them.

Does preparation save more time than review takes?

Compare manual and assisted handling using the same selection of typical and difficult enquiries. Record the full time to an approved reply, incorrect assignments and corrections. Include setup, licences and running costs in the assessment.

Questions to compare the workflows:
  • Less handling time, including review?
  • Missing details identified without unnecessary follow-up questions?
  • Correct assignment and accurate reply drafts?

Sources and technical background

These sources explain the underlying principles. Our recommendations provide practical guidance and do not promise a particular project result. Editorial review: 18 October 2026.

Questions about this example

How should I understand this example?

This is an illustrative workflow. We have implemented comparable tasks in some internal or external projects. The presentation is deliberately simplified; confidential client and business information is not published. The example describes a possible approach and is not attributed to a specific client project.

Are replies sent automatically?

Not in this example. The workflow prepares a draft; a team member reviews and sends it. Any later automated sending would be a separate scope requiring its own assessment.

Could this ease the workload in your mailbox?

Bring an anonymised enquiry and your current reply. In an initial discussion, we will look at the handling effort and assess whether templates, fixed rules or a bounded AI trial are the right next step.

Discuss your customer enquiries