Agentic AI Set to Expand Beyond Contact Centres, Study Finds

What happened

New research indicates that most organisations intend to broaden their use of agentic AI beyond its current strongholds in contact centres and IT support, extending deployment into HR, operations and other back-office functions. The findings, reported by No Jitter, point to a shift from agentic AI as a narrow customer-service or helpdesk tool towards a broader enterprise capability spanning multiple internal functions.

The research suggests this expansion is already being planned by a majority of surveyed organisations, signalling that agentic AI — systems capable of autonomously executing multi-step tasks rather than simply responding to queries — is moving from pilot status in service environments into wider operational use.

Why it matters

For customer experience leaders, this matters because agentic AI's credibility as a serious operational tool has largely been built in the contact centre, where it has been tested against high-volume, well-defined interactions. Its migration into HR and back-office processes suggests organisations see enough evidence of reliability to extend autonomous decision-making into areas with less structured, more variable workflows — precisely the kind of environments where service design discipline and behavioral guardrails matter most.

The trend also has implications for employee experience, since HR and operations are internally facing functions. How agentic AI is introduced there — with what transparency, escalation paths and human oversight — will shape employee trust in automated decisions in much the same way customer-facing deployments have shaped consumer trust in AI-driven service.

The Renascence take

The headline finding is unsurprising — of course adoption spreads once a technology proves itself in one function. The more interesting question is whether organisations are carrying over the service-design discipline that made agentic AI workable in the contact centre, or simply extending the technology without extending the governance.

Contact centres succeeded with agentic AI largely because they had years of experience defining escalation rules, failure states and human handoffs for automation — HR and operations mostly haven't. The risk isn't the technology; it's assuming autonomy that worked on a call script will behave the same way inside a performance review or a supply-chain exception. Any operator moving agentic AI into new functions should treat it as a fresh service-design exercise, not a rollout: map where autonomous decisions could quietly erode employee or customer trust before they scale, not after.