Agentic AI adoption is moving beyond contact centres into enterprise-wide deployment, with 69% of organisations planning widespread implementation across their operations within the next two years. Currently, customer service dominates adoption at 62%, followed by IT systems management (52%) and security (51%), but the expansion trajectory is clear: organisations intend to deploy agentic AI into HR (53%), finance (42%), and supply chain (34%) within six to twelve months. However, success rates reveal a critical gap—only 46% have successfully deployed agents in customer service, and 42% in IT operations and security. This disparity between intent and execution suggests that scaling agentic AI is not simply a technology problem but an organisational readiness challenge.
For CX teams, this expansion presents both opportunity and risk. Your contact centres are the proving ground for agentic AI governance, and the lessons learned—or not learned—will cascade across the enterprise. The research emphasises that companies must establish governance frameworks, define clear guardrails, and maintain human accountability before scaling further. Yet the divergence between MIT/Google's data (showing strong near-term growth expectations) and IDC's findings (suggesting organisations are already piloting beyond customer service) raises a crucial question: are your teams prepared to become the governance architects for agents operating outside your domain, or will you find yourselves managing the fallout when finance and HR deployments lack the operational rigour you've developed? The research also underscores that baseline AI literacy is insufficient—teams require hands-on experience in real workflows, which means your support operations may need to evolve into centres of excellence for agentic AI best practice across the organisation.
The gap between deployment intent and successful execution demands immediate attention. With 100% of surveyed organisations committing to agentic AI adoption within two years, the competitive pressure is real, but rushing implementation without proper governance will create compliance, quality, and accountability problems that contact centre teams will ultimately inherit. The question for CX leaders is whether you'll shape the governance standards now or respond to failures later.
Contact centers and IT departments have been at the forefront of agentic AI-powered workflows, and now agentic AI use is being scaled to other business operations in the organization.
Majority of organizations to expand agentic AI usage No Jitter