Voice is not disappearing from the contact center. It is becoming the channel where customer experience is most visibly tested.
As AI agents absorb simpler service tasks, the calls that reach human advisors are often more complex, more urgent, or more emotionally charged. That changes the role of voice. It also changes the expectations placed on agents, data, and the wider service operation.
Customers may accept automation for straightforward needs. But when the journey breaks, they expect the next interaction to carry context, not ask them to start again.
For Jonathan Kershaw, Director of Product Management at Vonage, the human role becomes more important when automation takes on routine demand:
“AI is going to handle the volume and the routine tasks, but the moments that matter the most... still require the empathy, the judgment and the accountability.”
That is why voice needs to be treated as more than a fallback channel. It is where trust, context, and resolution come together under pressure.
Voice Is Where Service Failure Becomes Visible
Digital channels can hide a broken process for longer. A delayed chat response or poor self-service journey may frustrate customers, but voice makes the failure immediate.
Dead air, repeated verification, missing context, and slow handoffs all become obvious in a live conversation. Agents have very little room to recover if the system does not give them what they need.
That is why voice needs a different place in the AI conversation. It should not be treated as a legacy channel sitting outside the modern service model.
Voice is where automation, data quality, human skill, and operational design meet under pressure. Kershaw argued that the highest-value customer moments still need people who can make judgments, not just systems that can route or summarize.
A voice strategy built only around containment misses that point. The real question is whether the business can move the right customer to the right human with the right context at the right moment.
AI Makes Human Interactions Harder, Not Easier
AI can reduce the volume of simple contacts reaching agents. That is useful, but it changes the shape of the work left behind.
Human advisors may handle fewer routine queries, yet spend more time on complex cases that require investigation, reassurance, or exception handling. Traditional efficiency metrics can misread that shift.
Average Handle Time (AHT) may rise because simpler interactions have moved elsewhere. That does not automatically mean performance has declined. It may show that agents are now working on the contacts where human support adds the most value.
CX leaders need measures that reflect the changing nature of advisor work. Alongside efficiency, they should assess whether agents have the information, support, and confidence to handle the more demanding conversations reaching them.
Handoffs Are the Real ROI Test
The AI-to-human handoff is one of the most important moments in the agentic contact center.
An escalation may pass through an AI agent or interactive voice response before reaching a human advisor. The test is whether the advisor receives enough usable information to take ownership quickly.
Kershaw warned that poor handoffs can undermine the economics of AI deployment:
“If that handoff from AI to human isn’t going to work, that ROI that you’ve built your model on... it’s gone.”
That is the practical reason voice should sit inside the broader operating model for agentic CX.
A well-designed handoff should carry intent, history, authentication status, previous answers, emotional cues where appropriate, and the current reason for escalation. The agent should not have to reconstruct the journey while the customer waits.