Artificial intelligence (AI) is already a big part of our society. In fact, that by 2020, 85% of customer relationships with a company will be managed via technology. Considering that we can expect such revolutionary changes in the next 2 years, the question is – will customer service agents become sufficient? Gartner says So far, we have seen the perks of chatbots and automation in handling tasks with speed and efficiency. AI opened up new opportunities for enhancing customer experiences across multiple channels, primarily by capturing, analyzing, and sharing vital data. cloud call center software Although human representatives don’t possess the ability to process information at such speed, working alongside AI might be mutually beneficial. On the one hand, clients will get a rapid resolution of their queries and requests. On the other, agents could dedicate their extra time to focus on more urgent matters. The truth is that corporations are still unsure about the appropriate use of artificial intelligence in the industry. But one thing is for certain, a focused and human approach is the only way for AI and call agents to get along and prosper. A Brief AI Overview While some people look at AI as some kind of a sci-fi almighty robot capable of world domination, it’s actually a series of algorithms scientists like to call . Once fully automated, this technology can interact with customers, but it’s not without limitations. soft/weak AI AI can’t deal with more complex issues and complaints that involve emotions because they lack the ability to understand them. For instance, the system can’t comprehend sarcasm, so if an angry customer says something like “wow, great service”, they simply won’t understand the meaning behind it. In other words, the human touch is necessary for the supervision of AI-empowered call centers the same way a rookie needs a bit of training before interacting with clients. So what is AI’s purpose? The utilization of AI in call centers comes down to: Supporting operators with knowledge Finding patterns in a vast amount of data gathered from both sides of phone calls Analyzing agents’ performance Predicting lead conversions Speaking of knowledge, many advanced cloud-based CRM vendors now offer the solution of combing enhanced knowledge with AI. When the call center’s knowledge base is aligned with sensitive artificial intelligence, AI algorithms are free to train and therefore improve the accuracy and precision of their methods. And the results? The customers are more engaged and lead conversions become higher. Call Centers of the Future Although AI technology is currently weak and in the process of development, there is no doubt it will reshape call center operations. We can expect to note higher performance rates due to IVR that will be able to accurately predict customer demands, requests, and queries and attend to them with tailored solutions. Meaning personalized customer care will not only improve the client’s experience but will also provide a competitive advantage to early adopters of AI. While human service representatives will still be a necessary part of the process, AI will play a key role in automating the vast majority of interactions, anticipating customer needs, and providing instant virtual help to prospects, thus increasing the chances of conversion. How will this work? We can say that AI will become a personal assistant to call service agents. People will still call the customer service, but they will get AI help in the process. To better understand the future we are facing, let’s examine the three vital functions predicted for AI in 2023: A customer who wants to change their account details will talk to an agent to request this type of service. However, the process will be further governed by an AI assistant who will identify and update the details by using voice print analysis to confirm the client’s query. Interactive Voice Response (IVR)– Before answering the call, the AI system will, within milliseconds, analyze the customer account, behavioral patterns, current situation, and then decide if the call is urgent. AI anticipates if the customer is in need of immediate help and labels the call according to urgency and purpose. Anticipating customer needs – So what happens if the call is really important? An agent replies and speaks with the customer about an issue. However, the AI assistant listens to the conversation and extracts keywords by applying natural language processing. From there on, AI analyzes the situation for finding the best possible solution which will be sent to the customer once the call agent confirms it. Client interactions – Conclusion As you can see, call agents and AI work better as a team. Robotics will change many job functions but they will not be able to efficiently perform entire business processes alone. It will help to put a stop to repetitive tasks and provide opportunities for creating new job positions as well. And don’t forget that not all customers prefer to talk with a machine, so human roles are absolutely safe. Right now, the best thing companies can do is implement AI along with their current call center software solution. This can massively improve the company’s connections with customers and the quality of customer service. Thanks to AI voice recognition and analysis capabilities, agents can be better trained by pinpointing certain weaknesses. Plus, with knowledge recommendation features and call summaries, consumers will immediately get the answers they need. Ultimately, it’s a win-win situation for all parties involved.
