8x8 has launched 8x8 AI Routing, a new platform-level engine that it says can connect customers to the best available expert across the business. The release targets a long-running CX problem, routing systems that often push customers into the next available queue instead of the right path to resolution.
That matters because many service teams still rely on static rules, manually maintained skill profiles, and narrow routing structures. Those limits can drive transfers, repeat explanations, and slower outcomes for both customers and agents.
8x8 says the new routing layer uses transcripts, sentiment, interaction history, and other real-time signals to suggest and maintain skills automatically. It also says the system can evaluate customer intent in real time and route interactions across channels.
The company is pitching the launch as more than a contact center feature. According to 8x8, AI Routing can direct work to a contact center agent on 8x8 Contact Center, a subject matter expert on 8x8 Engage, or a back-office employee on 8x8 Work.
8x8 Says the Problem Is Architectural
8x8 is positioning the launch as a response to a deeper design problem in CX operations. The company argues that most routing systems were built to manage queues inside the contact center, not to identify the best expert across the wider organization.
Looking ahead, Hunter Middleton, Chief Product Officer at 8x8 argued that the issue starts with system design:
"The best person for a given customer interaction might sit anywhere in the business, but most systems were never designed to look beyond their own boundaries."
That is the broader platform claim behind the launch. 8x8 wants routing to work across the business, rather than stop at the contact center line.
The attached research supports that framing. It positions the launch as a move away from isolated service queues and toward organization-wide expertise matching, where the routing layer identifies who is best equipped to resolve a customer’s intent at a given moment.
Why Routing Quality Matters More Than Deflection
The wider CX market has spent years talking about automation, but routing quality remains a stubborn weak point. A customer can still pass through self-service, authentication, and triage, then end up with the wrong person or lose context during handoff.
That challenge extends beyond any one vendor launch. Speaking to CX Today previously, Rebecca Wetteman, Principal at Valoir argued that automation metrics can obscure the real customer outcome:
"Deflection doesn't necessarily mean that the customer got what they wanted."
That distinction matters here. The value of AI routing will not rest on how many interactions it diverts or contains. It will rest on whether it improves resolution, lowers customer effort, and reduces unnecessary handoffs.