artificial intelligence cloud technology
Business Wire
Published on : Jan 5, 2026
Avaya is making a clear statement about where it believes the future of enterprise productivity and AI-driven work is headed. The company has announced it is adopting Gemini Enterprise as its core advanced agentic AI platform, alongside Google Workspace as its primary collaboration and productivity suite, marking a deeper strategic alignment with Google Cloud.
For a company best known for enterprise communications and contact center technology, the move is less about switching productivity tools—and more about reshaping how work gets done internally to better serve customers externally.
At the heart of the decision is Gemini Enterprise, Google’s AI platform designed to act as a unified, intelligent interface across enterprise knowledge, tools, and workflows. Avaya plans to use Gemini as the connective tissue across its organization, helping employees access information faster, automate routine tasks, and make decisions with greater context.
Rather than deploying multiple standalone AI tools, Avaya is consolidating around a single AI layer that can span teams and functions. This reflects a growing enterprise trend: AI is no longer treated as an experimental add-on, but as foundational infrastructure.
For Avaya, that infrastructure underpins its broader AI strategy—one focused on making workflows smarter end-to-end, not just incrementally faster.
Alongside Gemini Enterprise, Avaya is standardizing on Google Workspace, giving employees access to AI-infused versions of Gmail, Google Docs, Google Drive, and Google Meet.
The appeal here is integration. With Gemini embedded directly into Workspace tools, AI insights are delivered in context—inside documents, emails, meetings, and shared files—rather than through separate dashboards or copilots.
This matters for scale. As organizations grow more distributed, productivity gains increasingly depend on reducing friction between collaboration tools and intelligence systems. By unifying collaboration and AI under one cloud-native suite, Avaya aims to simplify its technology stack while improving day-to-day efficiency.
Avaya’s expanded partnership with Google Cloud underscores a deliberate push toward stack simplification. Large enterprises often struggle with overlapping platforms, redundant tools, and fragmented data. Each additional system slows decision-making and increases operational overhead.
By consolidating AI, collaboration, and productivity into a tightly integrated ecosystem, Avaya is positioning itself to move faster internally—and respond more quickly to customer needs.
This is especially relevant in the communications and contact center market, where customer expectations are evolving rapidly and AI-driven experiences are becoming table stakes.
While the announcement focuses on internal enablement, the implications extend beyond Avaya’s workforce. The company frames the move as a way to accelerate innovation and deliver more value to customers.
That linkage is critical. Enterprises increasingly recognize that employee experience and customer experience are tightly connected. Smarter internal workflows can lead to faster product development, more responsive support, and more personalized communications solutions.
“Gemini Enterprise and Google Workspace will empower our employees through AI-driven insights and collaboration and next-gen workplace productivity—redefining our work environment,” said Pete Lavache, CMO at Avaya. “By reimagining workflows and unlocking greater agility across our teams, we can accelerate innovation and deliver high-value outcomes for our customers.”
Avaya’s move mirrors a wider shift across large enterprises toward agentic AI platforms—systems that don’t just generate content, but actively assist with decision-making, coordination, and execution across workflows.
Rivals and peers across the enterprise software landscape are making similar bets, whether through Microsoft Copilot ecosystems or custom AI layers built on hyperscaler clouds. Avaya’s choice of Google signals confidence in Gemini’s ability to operate as a central AI interface rather than a collection of isolated features.
The emphasis on cloud-native tools is also notable. As hybrid work becomes the norm, enterprises are prioritizing platforms that scale globally while remaining secure and manageable.
The real test will be execution. Rolling out AI at enterprise scale requires more than technology—it demands change management, training, and governance. How effectively Avaya embeds Gemini into everyday workflows will determine whether the promised productivity and agility gains materialize.
Still, the direction is clear. Avaya is aligning its internal operations with the same AI-first mindset it brings to its communications solutions. In a market where speed, intelligence, and adaptability define competitive advantage, that alignment could prove decisive.
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