Customer support

Faster first response without losing control

A company with hundreds of monthly inquiries – agents spend time on repetitive questions instead of complex cases.

Client
Client: B2C/B2B services company, Poland (anonymous)
NDA
Anonymous project (NDA)

Repetitive questions burden the support team

Agents manually answered the same questions – no prioritization and long first-response time.

A large share of inquiries covered simple FAQ questions – agents lost time copying the same answers.

No automatic topic classification – hard to route tickets to the right team immediately.

Customers expected fast response outside office hours – without AI, first response waited until morning.

  • Repetitive FAQ questions
  • No ticket classification
  • Delayed first response

AI supporting agents, not replacing them

Classification, response drafts, and human escalation on low confidence.

We integrated AI with email, chat, and form channels. The model classifies inquiry topics and proposes response drafts from the company knowledge base.

On low confidence or sensitive topics, the system escalates to an agent with full conversation context. The agent edits the draft instead of writing from scratch.

  • Inquiry topic classification
  • Response drafts from knowledge base
  • Human-in-the-loop escalation
  • Integration with existing helpdesk

Shorter first-response time and less routine work

Agents focus on cases that require a human.

Simple questions get answered faster – often the same day, including outside office hours.

Agents start from an AI draft instead of a blank field – less time on repetitive answers.

  • Faster first response on FAQ
  • Classification from first message
  • Quality control through escalation

Technologies used

AI, Customer support, LLM, Automation

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Przemysławfounder, runs the projects

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