We’ve come a long way since filmgoers watched nervously as the computer “Hal” struck out on his own with the bland yet threatening response, “I’m sorry Dave, I’m afraid I can’t do that,” in Stanley Kubrick’s “2001: A Space Odyssey.”
Today, humans are comfortable interacting with machines. Twenty-five percent of customer service and support operations will integrate virtual customer assistant (VCA) or chatbot technology by 2020, up from less than 2 percent in 2017, according to Gartner, Inc. And in some cases, consumers seem to prefer machines to humans. Therapy bots like Woebot are successful in part because users don’t experience the fear of judgment that may exist speaking with another human.
The technology that enables machine-to-human interactions is known as conversational AI. It powers virtual assistants across apps, websites, messaging and smart speakers. In 2018, we saw virtual assistants take off in banking – finding their way into the apps and websites of the world’s largest banks. Pilots turned into production, and virtual assistants started engaging with real consumers at scale.
This technology is a growth engine for banks by servicing customers more efficiently, engaging customers to boost brand loyalty and acquiring customers to increase their lifetime value. But all conversational AI solutions are not the same.
Here are three key trends for banks implementing conversational AI in 2019.
Think omnichannel, not multichannel
Consumers’ expectations for banking are evolving from siloed multichannel experiences to deeply personalized omnichannel experiences. They expect the experience with their bank to be consistent and informed, no matter which channel they interact on, and they expect to move smoothly between channels. Banks implementing conversational AI should support “channel traveling” and never lose sight of who the customer is – not just their unique ID, but their preferences, history and more.
Make sure your solution supports sophisticated customer journeys and hand-offs between channels. Your customer should be able to start a conversation with your virtual assistant on Amazon Alexa, and the virtual assistant should be smart enough to follow up with more related details in the mobile app. The virtual assistant knows the optimal interaction model for each channel and generates the right response for the channel of choice.
Conversations that explain “why”
By now, consumers are accustomed to automated assistants that respond to them. A virtual assistant that answers questions has become table stakes. In 2019 and beyond, we’ll see consumers gravitate toward services that can give them answers to questions and explain their finances. People will come to expect answers to “why” in addition to “what.”
For example, customers will want to know their balance, but also why it is lower than expected. Or, they may ask if they can afford a vacation now, and if they could still afford it in six months. They’ll want to know their FICO score, and why it is lower than last year.
Banking customers already know chatbots can give their balance and move their money. In 2019, their expectation will be that conversational AI will do more to help manage their money with context and insights.
The era of available data is here
After years of waiting for banking data to be available, the future is finally here. Inspired by regulations such as PSD2, or the Payment Services Directive, in the European Union, large banks around the world are adopting open banking standards and launching modern developer portals that enable a new world of banking services. This is good for conversational AI, because its real value comes from personalized, actionable experiences—experiences that require data and services. With financial institutions such as Wells Fargo, Citi, Mastercard and Standard Chartered streamlining access to APIs, building meaningful conversational experiences and integrating them with the banks’ other services will be much easier and faster.
In 2018, we’ve seen conversational AI is here to stay, and in 2019, we need to make virtual assistants do more than respond to FAQs and complete simple tasks. Banks implementing conversational AI should remember consumer expectations are growing every year. To meet those expectations, leverage the abundance of available data via APIs to create omnichannel customer journeys that can understand your customers and explain the context to them.