Our recent research report with Morning Consult unveiled some core insights about rising customer expectations in the age of GenAI. It’s no surprise that customer experience is faltering as consumer expectations rise (the report found that 63% of consumers will leave a brand after one or two negative interactions vs. 59% in 2022).
The report examined how these perceptions differ between generations and how sentiment toward AI in the customer experience might impact these perceptions. Surprisingly, GenX is the hastiest to switch to a competitor after one or two negative experiences (65%) vs. GenZ (58%). GenZ and Millenials have more positive sentiments around AI’s benefits, but once educated, Boomers are significantly more open to AI in the customer experience.
This article will explore the topic of contact center AI and summarize our research's five key takeaways. We’ll also share five actionable, customer-led steps you can take in your contact center today, with the help of AI for CX, to combat the doom and gloom the data illustrates.
5 key consumer findings to improve your customer experience
Here are the five key takeaways from our research to help you formulate an effective AI strategy that better serves your customers.
- The first touchpoints in the customer experience are crucial to securing brand loyalty, particularly with GenX. If your customer base is primarily made up of GenXers, introducing some moments of delight early on and throughout the customer experience can help your business stand out.
- Fast resolution by humans is critical, especially when serving older generations. Implementing AI can help speed up resolution, but finding the right balance between AI and the human touch is essential.
- Your customers want a fast resolution whenever a problem arises. A good first step is to improve your chatbot with AI to help it resolve issues faster. Next, tell your customers how long they can expect to wait.
- Educating your customers on the benefits of AI can go a long way in alleviating their concerns about its use in customer experience.
- Taking an omnichannel approach in your contact center means you can serve more customers. Exploring video, in particular, as a central communication channel in your omnichannel strategy could improve customer satisfaction.
With diminishing expectations, there’s a sense of urgency for CX leaders to get on board to harness the power of AI in the right ways and educate their customers.
5 steps to a customer-led contact center AI strategy
Here are some next steps you can take to implement AI for CX to help your agents deliver the fast and frictionless service your customers expect.
1. Back to basics: Start with your chatbot
Many businesses are still using traditional, outdated chatbots despite the arrival of GenAI and more advanced conversational AI solutions. These more basic models often lack the ability to handle more complex, multi-faceted customer inquiries and can’t respond in a conversational, human-like tone. Consumers can see the potential for chatbots to deliver faster results and shorter wait times, but those who have used chatbots in the last year are rarely satisfied with the resolution.
Improving your chatbot with a new breed of conversational AI could be a pivotal way to solve consumers’ main pain points of long wait times and slow resolutions.
2. Use AI to stand out and create moments of delight
According to the research, many consumers are not fully aware of all of the benefits AI can bring to the customer experience, such as personalization. Around-the-clock service or 24/7 availability is more tangible for consumers and can be seen in action via chatbot solutions, a primary touchpoint in the customer experience.
The ability to self-serve is crucial for younger generations, who are more likely to work during the day and don’t have time to contact customer service during regular business hours. Chatbots are essential in the experience and are front and center in customers’ minds when it comes to AI. But with recent developments in GenAI, you can also use automation to delight at other touch points when serving your customers.
What if you could predict the issue a customer is calling about before they connect? How about adding a custom welcome message based on their previous interaction or purchase? For example, if you’re a ticket vendor, you could add a personalized message according to a customer’s last purchase: “I hope you enjoyed the baseball game last week!”
3. Be transparent: Educate your customers on the benefits of AI for CX
Mindlessly rolling out AI is a bad idea. While developing your contact center AI strategy, consider where you can also educate your customers on the benefits.
As live phone support and live messaging are the most preferred methods of support, let’s start there with a few examples:
- Offer alternatives to long call queues. Incorporate a message in your IVR that gives your customers an option to not wait. For example, “Click here, and we’ll send you a link to connect with a chatbot. Our AI chatbot can help with simple queries. Rest assured, we will get you to an agent if needed.”
- Allow customers to communicate in their native language: Add a message in live chat that enables customers to use their preferred supported language, making it clear that AI will help translate. For example, “Please feel free to communicate in the language you are most comfortable with. AI will automatically translate between you and the agent.”
- Educate during a live messaging interaction. For example, you could add an FAQ button that links to a list of questions, including “Did you know how we use AI?”
However, you decide to educate your customers, making it easy for them to escalate to a human agent when required is vital.
4. Create an omnichannel experience
As consumers become more interested in using other channels for customer service interactions, the need for an omnichannel experience becomes more pressing. Whereas many companies offer multiple channels, they are not always connected, which leaves agents unable to get a full view of the customer’s issue. An omnichannel solution allows agents and supervisors to see all of a customer’s interactions in one pane of glass, including engagements via phone, video, SMS, email, chat, WhatsApp, and Meta Messenger.
AI also helps in an omnichannel view by pulling a case summary together from various channels, making your agents’ lives easier and helping your customers feel relieved to have their issues resolved more efficiently.
5. Ensure you add the human touch for a positive AI customer experience
On a final note, our research clearly shows that consumers still value and appreciate human involvement in customer experience. This indicates that a balanced approach to AI implementation is wise for AI to be successful. AI is best used to enhance, not eliminate, the human touch. A recommended first step here is to bring some of your agents and supervisors into the mix when planning your contact center AI strategy to gain perspective and find the right combination of automation and live agent involvement in your customer experience.
Wherever you are on your contact center AI journey, we hope these key takeaways and next steps for a customer-led approach to AI implementation were helpful.
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