A massive 85% of customer service leaders will explore or pilot a customer-facing conversational generative AI (GenAI) solution in 2025, according to a survey by Gartner.
A Gartner survey of 187 customer service and support leaders conducted in July through August 2024 found 44% of leaders report exploring a customer-facing GenAI voicebot, in addition to 11% who are already piloting this technology, and 5% who have this solution deployed.
“More than seventy-five percent of customer service and support leaders said they feel pressure from executive leadership to implement GenAI,” says Kim Hedlin, senior principal: research in the Gartner Customer Service & Support Practice. “The customer service function has a growing level of influence over AI initiatives. This historically people-and-process driven function has evolved into a technology-focused one.”
Technology literacy to be prioritised
The customer service and support function is playing a leading role when it comes to GenAI – for some responsibilities, more so than IT. The survey found customer service leaders have primary responsibility for identifying new AI opportunities, roadmapping the evolution of AI activities and driving adoption.
Under pressure from executive leadership to make GenAI adoption a success, customer service leaders are committing to improve their technology literacy in 2025. Sixty-four percent of service leaders said they plan to spend more time learning about technology next year, compared to just 3% who plan to spend less time.
GenAI a top p – but there are barriers to adoption
Despite leaders’ eagerness to implement GenAI, many face barriers to effective adoption. Many customer service and support leaders will deploy conversational GenAI that relies on a well-maintained knowledge library.
However, 61% of leaders say they have a backlog of articles to edit, and more than one-third of leaders have no formal process for revising outdated articles.
“Service and support leaders are eager to deploy conversational GenAI, but they cannot ignore existing issues with knowledge management,” says Hedlin. “To overcome these challenges, service and support leaders need to dedicate resources to building an AI-optimized knowledge base in order to achieve their objectives.”