AI in Customer Service
How AI is used in customer service — routine requests, triage, summaries and after-hours response — and how to deploy it without losing the human touch.
ReadInsights
AI in customer service, voice AI and the human + AI operating model for service teams.

Articles
How AI is used in customer service — routine requests, triage, summaries and after-hours response — and how to deploy it without losing the human touch.
ReadVoice AI handles routine phone interactions — enquiries, appointments, information collection and routing. Use cases, design considerations and limits.
ReadFAQ
Each answer is expanded in the article above.
AI in customer service handles the high-volume, well-understood parts of the work — answering common questions, checking status, classifying and routing requests, collecting information and summarising interactions — so human agents can focus on complex, sensitive and high-value cases. Done well, it improves availability and speed without removing access to people.
Voice AI uses speech recognition, language understanding and speech synthesis to handle phone interactions with AI. For businesses, it is most useful for routine calls — answering common enquiries, taking appointment requests, collecting information, qualifying callers and routing calls — with transfer to a person for anything complex or sensitive.
A human + AI customer operation assigns routine, repetitive work to AI and keeps people responsible for judgement: complaints, sensitive cases, negotiations, exceptions and high-impact decisions. The model depends on well-designed handovers — clear escalation triggers and full context passed to the human — and on people reviewing and improving how the AI performs.
Discuss how these ideas apply to your organisation.