Ryan Rayner's iCXeed interview addresses a fundamental tension now defining contact centre strategy: whilst AI adoption has reached 92% across the industry, the parallel rise in consumer frustration with AI-powered service reveals that implementation velocity has outpaced strategic thinking. Rayner's long-standing work across organisations of all sizes positions him to articulate what many CX leaders are experiencing but struggling to articulate—that deploying AI without clarity on where it genuinely improves customer outcomes, rather than simply reducing headcount, creates friction that erodes trust. The critical question emerging from this landscape is whether teams currently operating within platforms like Zendesk or Salesforce are using AI to augment agent capability or to replace human judgment in scenarios where it shouldn't be replaced, and whether their current configurations reflect consumer expectations or merely operational convenience.
The related research landscape reinforces this diagnostic: Five9's data showing high adoption paired with persistent consumer preference for human support, combined with BBB findings documenting active frustration with AI-driven interactions, suggests the industry has entered a correction phase. Organisations investing in agentic AI—as RingCentral has done with RingCX—are betting that task-level automation rather than wholesale role replacement will prove sustainable, yet this distinction remains poorly understood across many teams. For CX professionals managing support operations, the implication is clear: the next competitive advantage lies not in faster AI deployment but in deliberate, evidence-based decisions about which interactions genuinely benefit from automation and which require human presence to preserve customer relationships and brand loyalty.
iCXeed Talks AI in the Contact Centre iTWire