
Hilee Avrahami at KMS Lighthouse shares insights on how the customer service agent role is changed by AI.
Most of the talk about AI-powered customer service focuses on how it improves the customer experience. It also allows organizations to understand their customers’ needs better and measure the success of their customer support strategies.
What doesn’t get discussed as much is how significant an impact AI customer support is having on customer service agents.
Artificial intelligence is now considered the gold standard in advanced technology for call centres. Its benefits include better service, stronger brand loyalty, and greater revenue. It’s also changing the way customer service agents perform their jobs.
No one has a customer service crystal ball, but it seems safe to say the growth of AI-automated customer service does not mean an end to live customer service agents. AI is human-like, not human, and so far lacks critical skills needed for human interaction.
Most of all, at this point, AI just isn’t advanced enough to work without human assistance. Setting up AI-powered systems and implementing them is still a human skill. Instead of threatening to replace customer service agents’ lives, AI actually boosts agent efficiency and makes their lives better.
AI is indispensable to call centre agents for many reasons:
On any given day, a customer service agent might handle hundreds of customer requests. Many of them are about the same topics, such as return policies, shipping costs, and delivery timelines. Others are more complex and require more in-depth knowledge.
Before AI, different agents might give different answers to the same questions. Knowledge-based AI provides agents with a single point of truth that enables them to speed up calls and avoid sharing outdated information.
Annette Franz, founder and CEO of CX Journey, believes a complete reliance on customer support agents without any alternatives can “make way for a negative experience when things go wrong.”
A knowledge base, she says, helps people get instant, accurate solutions that leave them feeling understood and cared for.
Over time, AI-based knowledge systems learn which answers have proven most helpful and suggest those responses to agents.
Newer AI technologies are also learning to interpret human emotions and behaviours. For instance, AI might sense when an interaction is escalating and suggest an agent stop talking as much or change their approach.