How AI Can Dramatically Improve your Contact Center

[24]7.ai | February 07, 2019

How can technology help your business perform better?

Answering that question was the key focus at The Future of Work Expo, which recently wrapped in Ft Lauderdale, Florida. The event featured some of the best and brightest minds in technology coming together to showcase and share ideas about how AI and machine learning can improve all aspects of business functions.

One highlight from the expo was a session featuring Ian Bain, VP of Corporate Communications at [24]7.ai. Ian joined a panel of experts to discuss how AI can be used to transform and improve contact center operations. The following are highlights from that discussion.

Q: What is meant by AI in terms of how it relates to contact centers?

Ian Bain: At [24]7.ai, we think of AI as software that thinks, acts, talks, and performs like your best human agents. Businesses possess a tremendous amount of data about their customers, and AI can process that data to extract the consumer’s intent when they contact the business. Through AI, we can determine the next best action based on the consumer’s intent, and over time through machine learning, chatbots can perform more like the best human agents.

Q: How should businesses use AI?

IB: It really depends on the company and who’s driving the decision making. We find most companies have several people with various needs who are all looking to use AI to solve a range of problems. It can be anything from creating a more seamless customer experience, to reducing resolution times for the consumer, or helping agents work better and more efficiently. We try to combine the pain points and show companies how AI can help them achieve business results across a range of goals. A lot of execs are still unsure of exactly how AI can help their business, why they need it, what they’ll get out of it, and we help them build business cases that will answer all those questions.

Q: How can companies be sure they’re choosing the best AI vendor?

IB: Companies need to be sure they’re choosing a vendor that can grow with them. Our solutions are based on a ‘build once, deploy anywhere’ model, meaning that they use the same business logic and natural language processing across channels so you’re not constantly having to reinvent the wheel when you want to add a new channel. That also provides a more consistent experience for the consumer.

Q: What applications or new capabilities do you see happening in the future?

IB: I’m really excited about the predictive capabilities of AI, and I think we will see a lot of progress with that in a few years. The way I think of it, Watson and Google AI need partners like us. They are the freeway, we are the bridge connection. We have the data on customer journeys and understand how those journeys differ by industry. We start by analyzing our customers’ transcripts to build out conversational models. AI can help provide predictive phrases, so in the future, for something like booking a flight, 90% of the journey is already preset. We can then layer on human agents that analyze and tweak the experience to continuously make it better.

At [24]7.ai, we think of AI as software that thinks, acts, talks, and performs like your best human agents.

Q: How effective is AI at detecting customer emotions?

IB: I’m really excited about the predictive capabilities of AI, and I think we will see a lot of progress with that in a few years. The way I think of it, Watson and Google AI need partners like us. They are the freeway, we are the bridge connection. We have the data on customer journeys and understand how those journeys differ by industry. We start by analyzing our customers’ transcripts to build out conversational models. AI can help provide predictive phrases, so in the future, for something like booking a flight, 90% of the journey is already preset. We can then

Q: How can organizations most effectively use AI today?

If you can offload a lot of the routine tasks to chatbots and let human agents monitor the chatbots’ performance and intervene when required, this will help dramatically improve call times and contribute to a number of other efficiencies. This will make customers happy by allowing them to self-serve, which is the experience most are after today. Automating a lot of the tedious tasks can also improve job satisfaction for agents and help them develop more complex skills moving forward.

Q: Do you see any new KPIs emerging as AI becomes more prevalent?

IB: I believe that average handle time (AHT) will evolve into total customer interaction time (TCIT). Regardless of what channels a customer is using, or even if they’re using multiple channel throughout their journey, they need to be able to get to a solution fast, without getting frustrated.

Q: Do you want customers to know they’re talking to technology?

IB: Absolutely. Companies need to be transparent with their customers. This can be achieved by something as simple as a little icon in the chat window that lets a customer know they’re talking to a bot, or being transferred to a human agent or back to a bot again. No matter who is helping the customer, transparency is key.

Q: Millennials are very mobile-centric and many prefer to talk to chatbots. How do you balance this with an older generation that still wants a human touch?

IB: Customer service is still absolutely generational. Millennials are happy interacting with technology if it means they’ll get a fast solution to whatever task they’re trying to complete, but older generations still often prefer to pick up the phone and speak to a human. In many cases, they crave the empathy only a human agent can provide. You have to ensure you’re still offering both experiences, or you’ll risk alienating an entire demographic.

Q: What are the biggest pain points around AI today?

IB: Compared to chatbots, humans are still much better at understanding emotions or complex questions, but technology is getting better every day. For example, if you ask an airline chatbot “what is your bereavement fare, and can I take my guitar on the plane,” a human would understand that those are two separate but related questions, but a chatbot would likely get confused. Chatbots can be trained to recognize questions with multiple intents, but this will take time. The more the bot learns from humans, the more effective it becomes. Tweet this!

Q: How does IVR fit into all this?

IB: I think a lot of frustration around IVR comes from not knowing the consumer’s intent. Most IVR systems are based on old technology and don’t possess the business logic or natural language processing that are present in digital channels, which is why most people end up asking for a live agent. What if when customers call, they were told “It’s going to be 20 minutes to speak with a live agent – but if you’re online you can speak with a live chat agent right now instead?” We find that when offered that choice, about 25 percent opt for the live chat option. This eliminates any potential frustration by clearly managing the customer’s expectations from the start.

Q: Where are we going in the future?

IB: In the future, I see bots interacting more with other bots and other brands. Think of it in terms of booking a trip – with one request, you can book a flight, rent a car, and get a hotel. Chatbots will function more as a personal concierge moving forward, but it’s going to take a lot of work to enable that future. Companies will need to figure out the handshakes between them, as well as a host of data privacy and security issues. I am an optimist, so I believe those things can be sorted out.

Q: Do you see contact centers using AI to become more proactive?

IB: I definitely see companies taking a more proactive approach for their high-end customers. For example, if you’re a frequent traveler and your flight is cancelled, a representative could proactively contact you letting you know that they’ve booked you on the next flight and arranged for you to spend some time in the executive lounge before then. This will be done through a combination of AI and human intelligence and will help companies lock in brand loyalty.