70% of Support Tickets Resolved Automatically

The challenge

A growing support team of five handled 200+ tickets per week manually. More than 60% covered the same twenty frequently asked questions. Average response time was 4 to 6 hours and customer satisfaction started declining as ticket volume grew.

Our approach

AI-powered support pipeline with a first-line chatbot for common questions, automatic ticket classification and routing based on content and priority, integration with the existing knowledge base and automatic status updates to customers.

1. Phase 1

   Analyse six months of tickets

   The ticket history showed a limited number of question types caused most of the volume: password resets, status queries and recurring configuration issues. That was the automatable mass.

2. Phase 2

   Fix the knowledge base before the AI

   An assistant is never better than the knowledge beneath it. Existing documentation was cleaned up, outdated articles removed and missing answers written. This was the most labour-intensive part.

3. Phase 3

   Automatic handling with clear boundaries

   The assistant only handles question types it has been explicitly cleared for. On doubt, dissatisfaction or an unknown topic, the ticket goes straight to a human with the context attached.

4. Phase 4

   Measure and adjust

   Each week we reviewed which automatic answers still led to a follow-up question. Those cases were used to improve the knowledge base rather than to keep the percentage artificially high.

The results

• 70% of tickets handled automatically without human involvement
• Average response time from 4 hours to < 5 minutes
• Support capacity doubled without additional hiring
• Customer satisfaction improved from 72% to 91%

Frequently asked questions

Do customers notice they are talking to an assistant?

Yes, deliberately: it is stated clearly when an answer is automatic, always with the option to reach a human. Hiding it creates more frustration in the long run.

What happens with a complex or sensitive question?

It goes straight to a human, including full context. The assistant does not improvise on topics it has not been cleared for.

Is 70% sustainable as questions get more complex?

The percentage fluctuates. As simple questions fall away, what remains is more complex. The real gain is that staff now get to those complex questions.

How much maintenance does this require?

Mainly maintaining the knowledge base. If your product changes, the documentation must follow. Budget about half a day per month.