AI tools are helping companies use customer conversations to improve service, identify sales opportunities and reduce churn, while human agents remain important when judgment and empathy matter.
WHAT’S HAPPENING
Some companies are rethinking customer service as more than a department for handling complaints and support tickets.
Filip Jaskólski, chief product officer at customer-service technology company Text, argues that conversations through chat, messaging and support channels can also reveal purchase intent, customer concerns and potential sales opportunities. Text has built its platform around combining AI-powered service automation with tools designed to capture customer intent and support revenue generation. (Forbes)
AI can handle routine questions, analyze interactions, recommend products and help companies respond to customers more quickly. Human representatives can then focus on situations requiring judgment, negotiation or a more personal response. (Forbes)
WHY IT MATTERS
Customer service has traditionally been measured largely through metrics such as response times, resolution rates and operating costs.
AI makes those processes easier to automate and measure, but companies are increasingly looking beyond efficiency toward whether customer interactions also improve retention, satisfaction and revenue.
That could make the line between customer service and sales increasingly difficult to separate.
WHO BENEFITS
Businesses may gain more information from customer interactions while automating routine service tasks.
Customers could receive faster answers while retaining access to human representatives for more complicated situations.
Customer-service teams may spend less time handling repetitive questions and more time dealing with higher-value or difficult interactions.
AI customer-service providers could benefit as companies look for systems that combine support, automation, customer data and sales capabilities.
WHO LOSES
Companies that automate too aggressively risk frustrating customers who want or need human assistance.
Traditional support operations focused mainly on ticket volume and response speed may face pressure to demonstrate broader business results.
Some routine customer-service roles and tasks could also decline as AI systems become capable of resolving a larger share of basic inquiries.
WHAT HAPPENS NEXT
Expect companies to experiment with measuring customer service differently.
Instead of looking only at how quickly AI closes a ticket, businesses may increasingly track whether an interaction leads to a retained customer, a completed purchase, stronger satisfaction or another measurable business result.
The emerging model is not simply AI replacing customer service workers.
It is AI handling more of the routine workload while companies determine where human interaction still produces greater value. (Forbes)
