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How Can AI Be Used Effectively in Customer Service Call Centers?

Businesses frequently misuse AI models and programs

Unfortunately, by seeing the current generation of AI applications as direct replacements for human capabilities, some contact centre leaders are repeating mistakes made with the first chatbots. People and machines are inevitably engaged in a power struggle as a result of this.

An article in The Wall Street Journal (paywall) details how machine-learning models are being used by certain call centres to relieve agents of the burden of making decisions. For instance, they listen in on conversations and make recommendations about what agents should say or do next based on the words and emotions that customers use to express themselves. However, agents are retaliating.

When asked, a large number of agents stated that they appreciate AI’s speedy access to information for decision-making, but they object to being coerced into using AI-generated scripts against their better judgement. Given that AI assistants are fallible, they would prefer to rely on their judgement when it comes to the naturally emotional side of customer service.

AI Can Not Replace Agents But Help Them Improve

Technology does have an impact on how people work. However, the field of customer service is not a zero-sum endeavour wherein technological advancements necessitate the displacement of human labour. The question is not how to split the pie, but rather how to make it bigger.

Although recent automation of essential contact center procedures has increased workflow efficiency, it hasn’t enhanced agents’ capacity to satisfy consumers once they’ve been connected. How come? since they continue to manage both direct customer interaction and the processing and interpretation of the inputs required to address customer issues.

Technologies and other AI applications will alter some jobs rather than replace human labour. That poses no risk. It’s a fantastic opportunity. Utilising AI’s incredibly potent abilities to take on the transactional and processing jobs that it can perform more efficiently than humans is the best way to make the most of this technology in the contact centre. Agents who receive this extra support may be able to deliver moments of truth more quickly and effectively.

(AI) can access and process enormous data sets, find pertinent patterns, and forecast the optimal course of action for any given issue in a fraction of the time it takes a human agent. Gathering and compiling crucially needed information and instantly putting it at the agent’s disposal, eliminates inefficiencies and delays. AI support frees up agents to concentrate on using nuanced judgement, which is a skill that is exclusive to humans. This judgement is based on the urgency of the situation, the customer’s comfort level, and other factors.

The AI Enhances Human Intelligence

AI can help us achieve our shared goal of more efficient customer service interactions without sacrificing our innate need for empathy in stressful situations. A solid handshake, a fixed gaze, and the rhythm of a self-assured voice all convey assurance. Whether we feel it or not, we are aware of it. AI might catch up someday, but in the meantime, we should concentrate on utilising its enormous potential to enhance our highly developed intelligence.

Contact centres should continue to assign transactional and computational tasks to chatbots as AI develops, saving more complicated requests for human agents. With apps made expressly to streamline coaching, training, time and stress management, and other actions to improve agent’s abilities and well-being, these businesses can offer agents more support.

People are vital in customer service because it is a distinctly human field where assurances of results or correction of errors are based on a foundation of trust. Even though AI is amazing at making up for our shortcomings, there is still no algorithm for faith. Therefore, it should play the role of a very useful support tool in call centres, enabling agents to better meet the needs of clients.