PHIL HELTEWIG
DIGITAL TRANSFORMATION
Gartner has predicted that half of the companies that reduce customer service staff because of AI will rehire those roles by 2027. I am skeptical – not because AI is overhyped, but because most organisations are still underestimating what modern systems can do when deployed with rigour.
In the next few years, AI will absorb the majority of routine customer service interactions. This won’ t be driven primarily by corporate recklessness or even by cost-cutting. It will happen because the technology is already capable of resolving many customer needs faster and more consistently than traditional models – provided companies implement it at scale and integrate it properly into their operations.
PHIL HELTEWIG
TITLE: CHIEF AI OFFICER COMPANY: NiCE
INDUSTRY: SOFTWARE DEVELOPMENT
LOCATION: DÜSSELDORF, GERMANY
Phil is Chief AI Officer at NiCE and Co-Founder of Cognigy, now NiCE Cognigy following their merger. He drives the evolution of agentic AI, transforming enterprise automation worldwide.
Today’ s agentic systems are no longer limited to scripted chatbots. They can navigate multi-step workflows, retrieve and apply knowledge instantly and complete transactions directly in enterprise systems. They don’ t fatigue, they don’ t vary by shift or tenure and they don’ t bring emotional spillover into repetitive interactions. Yet in many enterprises, AI is still treated as a layer added on top of legacy service operations: a pilot here, a copilot there, a deflection experiment on the margins. That isn’ t transformation, it’ s incrementalism.
A key misunderstanding in the current debate is the assumption that higher AI containment should automatically translate into immediate headcount reductions. In practice, that logic often destroys the very outcomes AI is meant to improve.
Consider a contact centre with 2,000 agents where customers wait 30 minutes on average to reach a human. Now introduce an AI agent that successfully handles 50 % of incoming volume. If the human workforce remains intact, the impact is immediate and material – queues shrink, wait times drop and service levels rise. Customers feel the difference.
But if the organisation responds by cutting headcount by 50 % to“ match” the deflection rate, the system simply returns to its previous equilibrium. Half of customers now interact with AI, but the other half gain little or nothing – and in many cases still endure the same wait times as before. The company
technologymagazine. com 143