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AI and Automation Use Cases for Customer Support

Understand customer requests, respond faster and reduce repetitive work for support agents.

AI automation use cases at a glance

Alongside these specialised workflows, the general AI and automation use cases can help with everyday documents and messages. The examples below show how to apply similar approaches to your team.

These examples are starting points. Adapt the inputs, integrations and review steps to your process.

Use case 01

Customer interaction sentiment analysis

The problem: Many incoming messages make it hard to identify customer concerns quickly.

The solution: Analyse sentiment and recurring issues across support interactions.

Example workflow:

  • Collect customer interaction data through an automation workflow.
  • Analyse emails, chats, recorded calls or other exchanges.
  • Consolidate findings in a spreadsheet or tracking tool.
  • Alert the team to issues that need attention.

Use case 02

AI-assisted knowledge base updates

The problem: Maintaining useful support documentation takes continual effort.

The solution: Identify gaps and draft knowledge base articles from frequently asked questions.

Example workflow:

  • Collect recurring customer questions.
  • Analyse questions and answers to find documentation gaps.
  • Draft new articles or updates for the support team to validate.

Use case 03

Intelligent support ticket routing

The problem: Large ticket volumes make it difficult to assign requests to the right person quickly.

The solution: Route tickets according to subject, required skills and team availability.

Example workflow:

  • Trigger the workflow when a ticket is created.
  • Analyse the ticket to identify the issue type.
  • Assign it to a suitable available agent under your routing rules.
  • Track resolution and adjust the workflow as needed.

Use case 04

Automated ticket translation

The problem: Customers contact you in languages your team may not speak.

The solution: Translate customer requests and support replies to enable multilingual service.

Example workflow:

  • Trigger translation when a request arrives in an unsupported language.
  • Translate the customer message.
  • Where needed, translate the support reply into the customer language.
  • Monitor interactions to improve translation quality.

Use case 05

Automated customer assistance

The problem: Repeated questions overload your customer service team.

The solution: Combine email reply drafting and chatbots to handle supported requests.

Example workflow:

  • For email: trigger the workflow when a new message arrives.
  • Send the message to an AI assistant and identify its request type.
  • Draft or send a reply for a predefined case and track the exchange.
  • For chat: start when a customer opens a website conversation.
  • Collect the information needed and provide answers or relevant resources.
  • Transfer complex issues to a human agent with a summary.

Discuss your AI automation opportunities

Tell us about your current process. We can help identify a useful first use case, define the workflow and put it into practice.