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Technology
17 May 2025
6-minute read

Beyond chatbots: AI agents in customer service

How AI agents transform customer service by resolving work rather than merely returning scripted answers.

V
Várnai Dánielfounder

My work is about building AI solutions that genuinely work—not for presentations, but for everyday use. From GitLab automation to internal processes, repetitive work is usually a strong candidate for improvement.

Illustration of AI agents supporting a customer-service team

Traditional chatbots made simple support available at any time, but their rigid decision trees quickly become visible when a customer's wording or situation falls outside the prepared script.

AI agents add language understanding, access to tools and a controlled ability to act. This changes the goal from merely answering a question to moving the customer's issue towards resolution.

The limits of traditional chatbots

Rule-based bots depend on anticipated questions and fixed answer paths. They struggle with ambiguity, context across several messages and requests that require information from another system.

  • Repetitive answers that ignore context
  • Dead ends when wording does not match a prepared intent
  • Immediate escalation even for routine tasks requiring a simple lookup

The AI agent: better conversations and real action

A customer-service agent can understand the request, retrieve approved information, inspect an order or ticket, ask for missing details and prepare an action. Permissions determine whether it may execute the action or only recommend it.

  • Context-aware responses
  • Connections to CRM, helpdesk and knowledge systems
  • Clear escalation when confidence is low or a policy requires human review

Key benefits for customer service

Agents shorten response times while reducing the amount of context-gathering that human colleagues must repeat. They can also apply the same quality checks consistently and make recurring customer problems visible.

  • Availability outside office hours
  • Faster case preparation
  • More consistent service quality
  • Better insight into common requests and process bottlenecks

Human plus AI: the winning combination

Empathy, negotiation and responsibility remain human strengths. The agent should handle repetitive preparation and routine resolution while people take ownership of sensitive, unusual or high-impact cases.

  • Define mandatory escalation categories
  • Show sources and actions to the employee
  • Log actions and use corrections in future evaluations

Summary

Moving beyond the chatbot does not mean giving software unlimited freedom. It means designing a service workflow in which AI has useful tools, narrow authority and clear handover points.

Ready to move beyond chatbots?

We can design an agent-based customer-service workflow that solves real problems rather than returning scripted answers.

Design the workflow
AI agentsChatbotsCustomer serviceAutomationHuman–AI collaboration