Industry
AI for customer service
AI in customer service isn't about forcing customers through a chatbot. It's about letting AI handle simple, repetitive cases faster and correctly, and letting your agents focus on cases that require judgement and relationship.
Common processes
- First-line support via chat, email or forms.
- Classification and routing of incoming cases.
- Suggested replies for agents (a co-pilot in the case system).
- Summaries of customer history before calls.
Examples of AI agents
Support agent
Answers defined case types autonomously and escalates the rest.
Routing agent
Classifies and routes tickets to the right team.
Agent co-pilot
Suggests replies and next steps directly in the case system.
Support agent
Answers defined case types autonomously and escalates the rest.
Routing agent
Classifies and routes tickets to the right team.
Agent co-pilot
Suggests replies and next steps directly in the case system.
Risks and requirements
- Clear rules for what AI can answer on its own and what must be escalated.
- Logging, and the option for customers to request a human agent.
- Consistent tone and brand voice in AI-generated replies.
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