8×8 has launched 8×8 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.
8×8 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 8×8, AI Routing can direct work to a contact center agent on 8×8 Contact Center, a subject matter expert on 8×8 Engage, or a back-office employee on 8×8 Work.
8×8 Says the Problem Is Architectural
8×8 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 8×8 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. 8×8 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.
Asked what customers will not tolerate, Shep Hyken, Customer Service Expert and Author put it simply:
“Customers… will leave you to go to another brand simply because you kept transferring them or making them repeat their story again and again.”
That quote does not speak to 8×8 directly, but it does underline the stakes of the problem the company is trying to address. For enterprise teams, poor routing is not only an operational flaw. It is also a loyalty risk.
8×8 Promises More Control Over Routing Decisions
One reason routing projects often stall is that they create extra admin work for supervisors. Skill models need updating, queues need tuning, and exceptions pile up as customer demand changes.
In an assessment, Sheila McGee-Smith, Founder and Principal Analyst at McGee-Smith Analytics highlighted the administrative burden many vendors have failed to solve:
“AI-powered routing has long promised a lot, but vendors have largely failed to address one key challenge: automatically assigning and maintaining agent skills and proficiency levels.”
8×8 says it is trying to reduce that burden. The company says supervisors can start with a single queue before expanding further, and it adds that each decision comes with exportable audit trails, including confidence scores and rationale.
That emphasis matters because explainability still shapes enterprise AI buying decisions. Leaders may want more automation, but they also want to understand why a system routed a customer to a specific person at a specific moment.
What Comes Next for CX Leaders
The immediate question is whether 8×8 AI Routing can reduce transfers, improve first-contact resolution, and lower admin overhead in live customer environments. Those outcomes matter far more than the product label.
Still, the launch reflects a broader shift in CX. Vendors are starting to treat routing less as queue management and more as a problem of identifying the right expertise, preserving context, and keeping the customer moving forward.
If that shift holds, routing could become one of the most important layers in the modern CX stack and the winners will be the platforms that help customers reach the right help with less friction, and help businesses prove why each decision made sense.
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