Avaya has announced that it's adopting Google Gemini Enterprise as its core AI platform, alongside Google Workspace for collaboration, offering enterprise tech buyers a compelling case study in strategic platform selection.
The announcement reflects Avaya's commitment to accelerating product innovation by leveraging hyperscale AI infrastructure rather than developing everything in-house. For Avaya's customers and the broader UC market, this decision prompts practical questions worth exploring. What does vendor platform consolidation mean for the solutions you're purchasing, and how should you approach similar choices in your own organization?
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Understanding Agentic AI in Practice With Avaya and Google
Avaya's focus on Gemini Enterprise as an "agentic platform" underscores a pivotal evolution in enterprise AI. Unlike conventional AI assistants that answer discrete questions, agentic systems autonomously navigate workflows, connect disparate data sources, and execute multi-step tasks across applications.
For Avaya's teams, this means a unified interface replacing the typical enterprise fragmentation of knowledge that might be scattered across CRM systems, support platforms, documentation repositories, and email.
Pete Lavache, Avaya's CMO, commented:
"Gemini Enterprise and Google Workspace will empower our employees through AI-driven insights and collaboration and next-gen workplace productivity ─ redefining our work environment. By reimagining workflows and unlocking greater agility across our teams, we can accelerate innovation and deliver high-value outcomes for our customers."
The more significant question for Avaya customers is whether this internal transformation will translate into better products, faster innovation cycles, and more responsive support. The company clearly believes so, explicitly connecting this investment to its ability to "deliver communications solutions that drive new value for customers."
What Platform Consolidation with Google Signals
Avaya's rationale centers on three priorities that should resonate with any tech buyer: simplifying technology infrastructure, enhancing employee productivity, and accelerating innovation velocity. The average enterprise uses dozens, if not hundreds, of different SaaS applications, fostering integration complexity, security challenges, and productivity friction. Consolidating around a cohesive ecosystem theoretically addresses all three.
For Avaya customers, this raises practical considerations. A vendor operating on modern, AI-native infrastructure should theoretically be more agile, more responsive to customer needs, and better positioned to embed AI capabilities into their communications solutions. If Avaya's product teams can leverage Google's AI to accelerate development cycles, that potentially benefits customers through faster feature releases and more innovative solutions.
The employee experience dimension is also important. When a vendor's internal teams utilize consumer-grade tools with embedded AI, it can result in better-designed customer-facing products. A support engineer who can instantly access comprehensive customer context through conversational AI should deliver faster, more accurate resolutions.
