Businesses are embedding artificial intelligence across customer service operations at an accelerating pace, deploying AI to answer questions, route calls, and process basic requests. The pressure to cut costs and reduce wait times is real. But the central tension remains unresolved: does faster service delivered by a machine actually satisfy customers who want their problem solved by a person?
Michela Lombardi, Managing Director of 3C Contact Service, argues that AI works best when it supports human agents rather than replaces them. "I think AI can improve customer service through guiding customers and triaging their concern, then warm transferring to a live agent," Lombardi said. The approach uses automation to eliminate navigation friction while preserving the handoff to a human being.
The friction appears when companies design systems that block access to live agents. "It can, on the bad side, increase frustration when customers want a live agent," she said. For a large segment of callers, reaching a real person remains the defining feature of good service.
Where customers still demand a human voice
At 3C Contact Service, Lombardi said most customers still prefer speaking with a live agent, especially during payment processing, cancellations, or complex troubleshooting. These interactions rarely follow a clean script. Customers ask follow-up questions, express anxiety about money, or need reassurance that a cancellation won't trigger hidden fees. A structured AI customer service training program can teach supervisors where to place that automated support without erasing the human safety net.
Routine inquiries-password resets, balance checks, store hours-are different. AI handles these cleanly. The risk surfaces when companies apply the same logic to emotionally charged or high-stakes calls and leave customers shouting "representative" into an unresponsive IVR.
The inevitable shift and what survives it
Lombardi sees full adoption as a question of timing, not possibility. "Yes, it's only a matter of time before AI is used by 100 percent of companies for many roles, including customer service," she said. But she does not predict mass replacement of human workers. Instead, agents will concentrate on escalations and high-value accounts where personalized attention directly affects retention and revenue.
As AI absorbs repetitive tier-one tasks, the agent role narrows toward conversations where empathy, creative problem-solving, and judgment carry the load. Companies that treat this shift as a pure cost play will face churn. Those that redesign workflows around the handoff between AI and skilled agents stand to keep both efficiency and loyalty.
Practical guidance for implementation
Lombardi's advice cuts through the noise: use AI inside the IVR to route customers intelligently, then connect them to a real person when the situation demands it. The goal is not to automate the customer out of the conversation. It is to remove the friction that wastes their time before the conversation starts. For support teams building these skills internally, AI for customer support courses offer pathways to train agents and supervisors on exactly this kind of hybrid workflow.
Why this matters for customer support professionals
The technology is coming for the repetitive parts of your job. That is not a threat if you position yourself at the other end of the escalation chain. The agents who will remain indispensable are those who can handle the calls AI cannot-the cancellations, the billing disputes, the moments where a customer's loyalty hangs on whether they feel heard. Build your skill set around de-escalation, complex problem diagnosis, and the kind of judgment no language model can replicate. The companies winning on service quality will be the ones that automate routing, not relationships.
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