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Customer Service · 15 August 2026

Agentic AI set to expand beyond contact centres, research finds

Most organisations already deploying agentic AI plan to extend it into HR, operations and other back-office functions, moving it from a customer-service pilot to enterprise-wide infrastructure.

Newsdesk
Curated briefing · 2 min read · 2 sources

What happened

New research covered by No Jitter finds that most organisations already using agentic AI plan to widen its remit beyond the contact centre and IT support desks, extending it into HR, operations and other back-office functions. The finding points to a shift from agentic AI as a customer-service pilot to a broader operational tool embedded across the enterprise.

The reporting frames this as a maturing phase for agentic AI — systems capable of taking multi-step actions autonomously, rather than simply answering queries — as organisations that have tested the technology in narrower use cases now look to scale it into functions that touch employees as much as customers.

Why it matters

For customer experience leaders, this signals that agentic AI is moving from a front-line experiment into infrastructure that will shape how requests are routed, resolved and escalated across an organisation — not just how a chatbot handles a query. When HR and operations teams adopt the same agentic capabilities as the contact centre, the employee experience and customer experience start to run on shared logic, meaning inconsistencies or errors in one domain can quickly surface in another.

It also raises the stakes for governance and trust. As agentic systems take on more autonomous decisions across more departments, the behavioural design of hand-offs — when to let the agent act, when to loop in a human, how failures are communicated — becomes a core service-design question rather than a technical afterthought.

The Renascence take

The headline finding — that organisations want to expand agentic AI beyond the contact centre — is less interesting than the assumption hiding inside it: that success in one function guarantees readiness in another. Customer service and HR are not interchangeable proving grounds; they carry different stakes, different failure tolerances and very different emotional loads for the people on the receiving end.

Most rollouts underestimate how differently people react to autonomous decisions depending on what's at stake — a misrouted refund is an inconvenience, a misrouted HR case can feel like a breach of trust. The organisations that get this right won't be the ones that scale fastest; they'll be the ones that map where autonomy earns confidence and where it erodes it, then design the human hand-off accordingly. Before extending agentic AI into a new function, operators should ask not "can it do the task" but "what does this function's customer or employee need to see and control to trust the outcome."

Sources

This briefing was written by our Newsdesk, synthesising reporting from the outlets below. Follow the links for the original coverage.

FAQ

Questions we get on this topic

Research covered by No Jitter found that most organisations already using agentic AI in the contact centre or IT support plan to expand it into HR, operations and other back-office functions.

Agentic AI refers to systems capable of taking multi-step actions autonomously, rather than just answering queries, meaning it can execute tasks and decisions across a process rather than simply respond to a single request.

When HR and operations adopt the same agentic capabilities as customer service teams, employee and customer experience begin to run on shared logic, so errors or inconsistencies in one area can quickly affect the other.

Renascence cautions that success with agentic AI in the contact centre does not automatically translate to HR or other functions, since these areas carry different stakes and emotional weight, and organisations should design human hand-offs based on where autonomous decisions build or erode trust.

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