Universities using 8x8's contact centre technology cut student call wait times during last year's clearing period from more than 18 minutes to under eight seconds, according to data released by the company. That represents a reduction of well over 99%. Notably, total call handling times remained broadly unchanged at around two to eight minutes once students were connected. The improvement came almost entirely from eliminating time spent waiting in queues.
Call waiting times reduced, not the conversations
The figures point to an important nuance that AI reduced waiting, but not necessarily talking. University of Worcester's Head of Operations, Ged Attwood, said that during last year's clearing period the institution took 3,325 calls with an average wait of 32 seconds, adding that even on the busiest first day, “the average wait time was no longer than ten seconds”.
Students still spent a comparable amount of time on calls once connected, indicating the conversations themselves were not shortened or automated away. This suggests the technology's role was getting students to a human adviser faster, not replacing that adviser.
Clearing as an AI stress test
Clearing offers a useful proving ground for contact centre AI precisely because it combines several pressures at once: a massive, compressed demand spike as results are released; decisions that are emotionally loaded for applicants and their families; extreme time sensitivity, since places are awarded on a first-come, first-served basis; and direct financial implications for universities, which could represent up to £2 billion in student recruitment value during this year's clearing cycle.
James Starvella, UK University Lead at 8x8, said the volume of applications through Clearing has grown year on year and is likely to exceed 80,000 people this year, an "utterly stressful time for applicants" who have no way of knowing whether a call will take three seconds, three minutes or three hours.
The same challenge exists across industries, from healthcare appointments and insurance claims to financial services, where customers often value rapid access to the right expert more than shorter conversations.
The technology behind the numbers
While 8x8 did not specify which platform capabilities contributed most to the reported reduction in wait times, the company says its “Platform for CX” integrates AI to support customer journeys. 8x8's contact centre platform includes capabilities such as AI-enabled self-service, intelligent routing and queue management that are designed to help organisations manage high volumes of customer enquiries more efficiently.
The positioning is consistent with 8x8's broader platform strategy, which the company has increasingly built around open architecture, enabling AI capabilities to integrate across enterprise systems and scale to meet sudden spikes in demand. Whether that architecture played a role in clearing, though, is also not something the announcement specifically addresses.
The bigger question
Clearing's combination of volume, urgency and emotional weight makes it a greater test of AI than many enterprise customer service environments. Rather than replacing admissions teams, the technology appears to demonstrate AI's growing role as an orchestration layer, reducing friction and directing demand, even as agentic AI deployments elsewhere often still fall short on the wider customer journey.