that 70% of customers are already convinced that AI has thepower to improve their experiences and get them answers faster . Despiteeverything, one bad step is enough to transform this enthusiasm intofrustration. People hate chatbots when they don't work well. At all costs,avoid undermining customer trust for the sake of efficiency or because youtried to automate too many things. According to a Zendesk study, 70% ofcustomers believe and effective customersupport experiences. The introduction of a new technology must be done step bystep. Start by understanding and addressing customer concerns aroundtransparency, data privacy and security, and performance. Develop clearcommunications on your policies and
projects, draw inspiration from best practices, take intoaccount feedback and remain open to change. Here are seven tips to help CXleaders build customer trust in AI: Better experiences come from AI thatunderstands your customer needs If your AI isn't trained on data focused Chinese Malaysia Phone Number List specifically on CX, it won't be able to understand common customer questions,let alone solve them. For customers to trust AI, they need to trust that it canunderstand and help them. We trained our AI solution using billions of customerinteractions so that it understands each request well, not only in terms oflanguage used, but also in terms of sentiment and intent. Automation must betargeted The first step in developing an AI strategy is to identify what shouldbe automated

and what should not be. Start by automating less riskyrequests to build customer confidence (and that of your team), like orderstatus queries or shipping tracking, then move on to more complex questions,like order cancellations. order or refunds. Escalate issues quickly andfrequently It is essential that the AI understands not only your customersbut also its own limitations, and calls upon a human agent if necessary. Bytransmitting relevant information, such as order history and accountinformation, AI helps agents quickly understand the context of requests andprevents customers from repeating the same information. Use varying degrees ofconfidence to ensure transparency of AI predictions Not all AI predictions areequal: some are more reliable than others.
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