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3 minute read
The Brief: 8x8 has introduced 8x8 AI Routing, a new intelligent routing engine designed to connect customer interactions with the most appropriate employee across an organization.
The service uses AI to recommend and maintain employee skills by analyzing interaction transcripts, historical conversations, sentiment, and other real-time data. This helps administrators to review, approve, or modify suggested skill assignments before they are applied.
The routing engine evaluates each interaction using multiple contextual factors, providing supervisors with audit trails that explain routing decisions, confidence scores, and decision logic. It also integrates with 8x8 Intelligent Customer Assistant, 8x8 AI Studio, IVRs, and third-party bots while supporting contact center agents, subject matter experts, and back-office employees through a unified routing layer.
Discover full details of the announcement about the launch of 8x8 AI Routing at investors.8x8.com.
Source: 8x88x8 Launches AI Routing to Improve Intelligent Customer Interaction Routing
Analyst Perspective: Many routing platforms still depend on manually maintained skill profiles, making them difficult to keep current as employees gain experience or take on new responsibilities. By introducing AI-generated skill recommendations that continuously draw from interaction data, 8x8 reduces administrative effort while keeping routing decisions informed by recent performance.
Another aspect worth examining is the decision to treat routing as a shared platform capability instead of limiting it to contact center operations. This allows organizations to consider expertise wherever it exists, including business units that traditionally remain outside customer service workflows.
The emphasis on transparent decision-making also adds value. Supervisors retain oversight through approval workflows and detailed routing explanations, making AI recommendations easier to validate while maintaining governance requirements that many enterprise organizations expect.
AI Uses Live Interaction Data to Maintain Employee Skill Profiles
Unlike traditional routing systems that depend on manually created skill lists, 8x8 AI Routing continuously analyzes customer interactions to recommend employee skills and proficiency levels. The platform reviews conversation transcripts, historical interactions, sentiment, and additional contextual information to generate suggested profiles that administrators can approve or modify. As employees handle new interactions, the system reevaluates available data and recommends updates whenever changes in expertise are detected. This process reduces the need for ongoing manual maintenance while helping routing information remain current. The capability also detects customer intent automatically, reducing dependence on manually configured IVR pathways. By automating these administrative processes, organizations can introduce intelligent routing more quickly while maintaining human oversight before recommended changes become active.
Enterprise-Wide Routing Connects Customers With the Right Expertise
8x8 AI Routing is designed to evaluate available expertise across the organization instead of limiting routing decisions to contact center agents. The platform can direct interactions to employees using 8x8 Contact Center, specialists working through 8x8 Engage, or back-office personnel using 8x8 Work when their knowledge is better suited to resolve a customer's request.
Every routing decision considers multiple real-time factors before identifying the most appropriate resource. If that resource is unavailable, the system automatically reevaluates available options to keep the interaction moving.
Supervisors can review detailed audit records that explain routing decisions, including confidence scores and supporting factors, providing visibility into how each interaction reached its assigned employee.
Integration Supports Existing Customer Engagement Environments
The routing engine works alongside existing customer engagement technologies without requiring organizations to redesign their communication environments.
It integrates with 8x8 Intelligent Customer Assistant, 8x8 AI Studio, interactive voice response systems, and third-party conversational bots, which allows customer requests from different entry points to pass through a unified routing layer. This enables organizations to introduce intelligent routing while continuing to use their current automation investments.
The platform can also accommodate additional communication channels and business applications as enterprise environments evolve. The company has made 8x8 AI Routing available to select customers, who can work with their account or customer success managers to begin deployment and evaluate the new routing capabilities.
AI Routing Strengthens 8x8’s Long-Term Vision for Intelligent Customer Engagement
8x8 has steadily developed its platform by combining unified communications, contact center capabilities, employee collaboration, and conversational AI within a connected environment. And AI Routing naturally complements that direction because it introduces intelligence that spans these existing services instead of functioning as a standalone feature.
Organizations with distributed support models, multiple business units, or specialized internal teams are likely to benefit most, particularly when customer inquiries require knowledge that extends outside traditional contact center operations.
Sustaining Accuracy Through Governance
Organizations will still need reliable employee data, governance policies, and administrator oversight to ensure AI-generated skill recommendations remain accurate and trusted. So establishing regular review processes, monitoring routing outcomes, and validating recommended skills against business objectives can help maintain confidence while improving routing quality.
Where Enterprise Routing Could Go Next
This release suggests that 8x8 is investing in platform intelligence that reaches multiple parts of the enterprise instead of individual applications.
Future enhancements could build on this foundation by incorporating richer contextual signals, additional enterprise integrations, and more predictive decision-making capabilities, giving organizations greater flexibility as customer engagement strategies continue to evolve.
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