Kevin McGachy, Head of AI Solutions, Sabio Group, outlines why Agentic AI is not just a new form of automation but a catalyst for rethinking contact centre roles, performance metrics and service design.
Agentic AI is set to transform contact centres — but the real story isn’t about replacing people. It’s about redefining the way they work, the roles they hold and the skills they need.
What’s often overlooked is how much of this change will reshape the size, shape and role of the human workforce.
According to The Inner Circle Guide to Agentic AI by ContactBabel, fewer than half of contact centres see headcount reduction as a primary objective. That suggests a deliberate shift in narrative: the focus isn’t overtly on removing people but on removing friction.
Why Agentic AI is different – and why it matters
Agentic AI isn’t just another virtual assistant. It doesn’t wait for instructions. It interprets, reasons, takes action and learns from outcomes. Most importantly, it operates with autonomy to complete end-to-end tasks – not just offer next-best suggestions.
This goes beyond human augmentation. It’s about replicating the behaviour of highly capable agents in a scalable, intelligent way. While the industry often defaults to language about “agent assistance”, Agentic AI systems are increasingly capable of completing tasks without human oversight – a key differentiator from traditional bot or assistive models.
In the report, ContactBabel highlights the challenge human agents face when switching between multiple systems to serve a single customer. This creates complexity, delays and inconsistency. For an AI agent, those same tasks can be orchestrated instantly — with no fatigue, deviation or processing lag.
The real drivers of Agentic AI adoption
The top reasons cited by organisations for deploying Agentic AI were:
- Greater accuracy in responses
- Improved understanding of customer needs
- Faster resolution times
- More effective self-service journeys
These benefits directly correlate to measurable CX and operational improvements: higher satisfaction, better first contact resolution, reduced handling time and improved digital containment.
And while only 19% of organisations said reducing headcount was of “major importance”, we shouldn’t ignore the efficiency gains from automation at scale.
Redefining metrics for the AI-enabled contact centre
If your only success metric for AI is headcount reduction, you’re thinking too small. But if your business case ignores the indirect impact on human workload and resourcing, it’s incomplete.
Future metrics will be broader:
- Task completion rates (human and agentic)
- Agent effort vs AI resolution
- End-to-end containment
- Cost-to-serve per interaction
- Time to value of AI investments
- Agentic Agent FTE requirements
These reflect transformation, not just tactical optimisation.
What it means for CX leaders
Agentic AI isn’t about choosing between human or machine. It’s about designing an operating model where AI handles what it’s best at, and people focus on empathy, judgement and complex exception handling.
The conversation must now shift to:
- Where should automation be fully owned by Agentic AI?
- What work should be left to humans?
- How do we transition intelligently from today’s hybrid models?
Final thought: Agentic AI is the catalyst, not the threat
Agentic AI won’t replace the contact centre — but it will redefine how it works, who it employs and the skills required. The organisations embracing it today are preparing for a future where customer service is faster, smarter and fundamentally different.
