8×8 Earns Metrigy Recognition as Enterprise AI Shifts Toward Unified Customer Engagement

Recognition from Metrigy’s 2026 Customer Experience study reflects a broader enterprise shift toward integrated AI-powered communications platforms that combine customer engagement, contact centers, automation, and analytics.

After years of experimenting with chatbots, virtual assistants, and standalone messaging applications, organizations are increasingly focusing on integrating AI across the entire customer engagement lifecycle. Rather than deploying isolated communication tools, enterprises are investing in platforms that unify messaging, contact center operations, analytics, automation, and customer data to improve operational efficiency while delivering more personalized customer experiences.

This evolution is reflected in findings from Metrigy’s Customer Experience MetriCast 2026 study, which surveyed 1,437 customer experience leaders across 10 countries spanning North America, Europe, and Asia-Pacific. The research found that customer satisfaction improvement remains the strongest business outcome from Communications Platform as a Service (CPaaS) deployments, followed by revenue growth and gains in employee efficiency.

Recently, 8×8 Inc. got recognized as a 2026 MetriStar Top Provider for Communications Platform as a Service (CPaaS) and Contact Center as a Service (CCaaS) by Metrigy. While the recognition highlights the company’s performance across customer sentiment and business success metrics, it also reflects a broader industry transition in which enterprises are moving beyond standalone messaging tools toward unified customer engagement platforms designed to support AI at scale.

Communications Platform as a Service has evolved considerably over the past decade. What began as a market centered on messaging APIs and programmable voice services has expanded into a broader customer engagement ecosystem encompassing conversational AI, workflow automation, campaign management, analytics, omnichannel communications, and customer interaction data.

As organizations accelerate digital transformation initiatives, many are reducing the number of standalone customer communication tools they operate in favor of integrated platforms capable of connecting every stage of the customer journey. The research also identified customer satisfaction improvement as the most significant business outcome associated with CPaaS deployments, reinforcing the growing role communications infrastructure plays in enterprise customer experience strategies.

AI Success Depends More on Business Problems Than Technology

As enterprise AI adoption matures, organizations are increasingly shifting their focus from experimentation to measurable business outcomes. While early deployments often emphasized showcasing the capabilities of generative AI, many enterprises are now evaluating projects based on tangible metrics such as customer retention, first-contact resolution, operational efficiency, and cost savings. This change has also exposed an important reality: successful AI initiatives are often determined less by the sophistication of the underlying models and more by the quality of customer data, workflow integration, and the organization’s ability to solve clearly defined business problems.

Industry analysts have similarly observed that enterprises are moving away from isolated AI pilots toward solutions embedded within existing business processes. Rather than asking what AI can do, organizations are increasingly asking where AI can deliver the greatest operational impact and the fastest return on investment.

While conversing with AsiaTechDaily, Sylvain Chaperon, General Manager, CPaaS at 8×8, said organizations generating the strongest returns from AI are often those that begin with operational pain points rather than the technology itself.

“From what I see across the market, the companies getting the clearest results aren’t the ones with the most sophisticated AI strategy. They’re the ones who identified a problem they were genuinely frustrated by, fixed it, and then asked whether it worked, and then went from there. It sounds almost too simple, but staying focused on a real problem rather than chasing the technology is rarer than you’d think, and it’s consistently where the return shows up.

The two areas delivering the most consistent impact are AI-powered self-service and agent augmentation, and they tend to reinforce each other. On self-service, the clearest wins are in high-stakes, time-sensitive moments: a card declined overseas at 11 p.m., a patient needing urgent appointment routing, or a customer disputing a charge with nowhere to turn. Enterprises that have deployed conversational AI capable of understanding intent, verifying identity through natural dialogue, and taking direct action are seeing measurable impact in both retention and operational cost.

The enabling factor is rarely the AI model itself. It is the unified customer interaction data underneath it, giving the AI the context to act confidently without the customer ever having to repeat themselves. Agent augmentation compounds this: real-time coaching, automatic summaries, and next-best-action prompts reduce handle times and improve first-contact resolution in ways that show up immediately in operational metrics.”

His observations mirror a broader trend emerging across enterprise software, where organizations increasingly measure AI investments by improvements in customer outcomes and operational performance rather than by the sophistication of the underlying models.

Unified Data Is Becoming Enterprise AI’s Competitive Advantage

As AI becomes embedded across customer engagement workflows, enterprises are discovering that fragmented information systems remain one of the biggest barriers to meaningful deployment. Many organizations still manage customer interactions across disconnected CRM platforms, contact centers, messaging applications, marketing systems, and analytics tools. Without unified customer context, AI applications often struggle to deliver personalized recommendations or automate complex customer interactions effectively.

This growing emphasis on connected customer data is also influencing purchasing decisions, with enterprises increasingly seeking platforms that combine CPaaS, Contact Center as a Service, and Unified Communications as a Service (UCaaS) rather than managing separate vendors for each capability. Metrigy cited this integrated approach as one of the differentiators behind 8×8’s recognition, noting that relatively few providers offer communications, contact center, and programmable engagement capabilities through a single platform.

Despite rapid advances in AI capabilities, Chaperon believes technology itself is no longer the primary obstacle preventing enterprise adoption. Instead, he argues organizations face challenges around data readiness, governance, and implementation strategies. While conversing with AsiaTechDaily, he explained:

“Where enterprises continue to struggle is in three places. First, fragmented data. AI is only as good as the information it can access, and when customer context lives across disconnected systems, the AI produces generic, low-confidence outputs. The organizations moving fastest are those treating data unification as a prerequisite, not an afterthought.

Second, governance. As AI handles more of the customer relationship, questions around transparency, consent, and accountability become genuinely complex, and the ones doing it well are building clear policies before they scale.

Third, deployment complexity, and this is the assumption that is shifting fastest. The assumption that standing up AI requires specialist teams, six-month timelines, and significant budget before a single customer interaction is affected is increasingly outdated. The organizations pulling ahead have recalibrated around a different premise, that speed to production is itself a competitive variable. It is a shift in thinking that we have tried to reflect directly in how 8×8 AI Studio is built. Technology is no longer the limiting factor. The gap is almost always in organizational readiness, and that is a solvable problem.”

His assessment aligns with broader enterprise technology trends, where organizations increasingly recognize that successful AI adoption depends on governance frameworks, high-quality data, and organizational processes as much as advances in AI itself.

Platform Consolidation Is Reshaping Customer Experience

The communications technology market is also undergoing structural change. Rather than assembling customer engagement capabilities through multiple point solutions, enterprises are increasingly consolidating messaging, voice, video, contact centers, automation, and analytics into unified platforms. This approach reduces operational complexity while enabling AI systems to access richer customer context across multiple communication channels.

For 8×8, this market evolution has influenced its approach to CPaaS, which the company positions as a programmable layer connecting broader customer experience operations rather than as a standalone messaging toolkit. Commenting on this shift, Chaperon said organizations increasingly expect communications platforms to support every stage of customer engagement.

“Most of the companies we work with aren’t just looking for a messaging API. They need the whole chain: campaign management, AI, analytics, and a contact center that talks to all of it. This recognition from Metrigy validates our approach helping organizations improve customer satisfaction, drive growth, and simplify operations at scale.”

8×8’s recognition in Metrigy’s 2026 MetriStar Awards reflects more than the performance of a single communications platform. It illustrates a broader transition underway across enterprise technology as organizations move beyond isolated AI deployments toward integrated customer engagement ecosystems.

Increasingly, enterprises are evaluating communications platforms not simply on their ability to deliver messages or automate conversations, but on how effectively they connect customer data, AI, analytics, and operational workflows into a unified experience. As AI adoption matures, competitive advantage is likely to depend less on introducing new AI features and more on helping organizations operationalize those capabilities quickly, responsibly, and at scale while delivering measurable business outcomes.

Quick Takeaways

• 8×8 has been named a 2026 MetriStar Top Provider for CPaaS and CCaaS by Metrigy, reflecting strong performance in customer satisfaction, revenue growth, platform reliability, and low-code application capabilities.
• The recognition highlights a broader shift in enterprise AI adoption, with organizations moving beyond standalone messaging tools toward integrated customer engagement platforms that combine communications, AI, analytics, and contact center operations.
• Metrigy’s Customer Experience MetriCast 2026 study, based on responses from 1,437 customer experience leaders across 10 countries, found that improving customer satisfaction remains the top business outcome organizations seek from CPaaS investments.
• While conversing with AsiaTechDaily, 8×8’s Sylvain Chaperon emphasized that successful AI adoption is driven by solving real business problems rather than deploying the most advanced AI models. He identified AI-powered self-service, agent augmentation, unified customer data, and organizational readiness as the key factors behind measurable business impact.
• As enterprise AI matures, competitive advantage is increasingly shifting toward unified communications ecosystems, where integrated customer data, automation, governance, and omnichannel engagement enable organizations to scale AI more effectively and deliver better customer experiences.