Category: AI and Customer Service
NPS doesn’t measure automated customer service. And it never did
Gartner had predicted that over 75% of organizations would abandon Net Promoter Score as a customer service metric by 2025. With AI handling most interactions, the NPS problem has become even more acute. Here's what to measure instead.
How to measure the quality of a customer service that talks to robots
Traditional customer service metrics don't work when most interactions are handled by AI. Average handling time, first contact resolution rate, CSAT: all require a rethink when the agent isn't human. Gartner has already redefined what to measure and how.
Chat, email, phone: AI still doesn’t manage them as a unified whole
51% of customers are willing to use a GenAI assistant to handle service interactions. 91% of customer service leaders are under pressure to implement AI across all channels. But orchestrating chat, email, and phone into a single intelligent workflow is harder than it looks.
Handing the customer to a human: the most critical moment in AI customer service
None of the Fortune 500 companies will have completely eliminated human customer service by 2028. 50% of organizations that had planned significant staff cuts will abandon those plans by 2027. The escalation point between AI and human is the most critical moment in modern customer service.
Public sector contact centers and AI: what works, what doesn’t
Governments have been experimenting with generative AI in contact centers for two years. Results show where it's worth investing and where risks outweigh expected benefits.
