News
In Brief
- Gemini Enterprise consolidates Google’s AI models, infrastructure and productivity tools under one system for connected workplace intelligence.
- The platform links Workspace, Salesforce, SAP and other business systems, combining no-code automation, custom agents and centralized governance.
- Gemini Enterprise signals Google’s broader move from isolated AI features to an orchestrated, enterprise-scale AI operating layer.
Google launched Gemini Enterprise today, a platform designed to unify the company’s AI models, data infrastructure and productivity tools under a single enterprise-grade system. Framed by the company as a “new front door” for workplace AI, Gemini Enterprise centralizes access through connections to Google Workspace and other major enterprise systems, and layers in governance, automation and no-code agent creation.
In practical terms, the platform is meant to orchestrate work across teams and apps: instead of isolated copilots or chatbots, Gemini Enterprise aims to coordinate multi-step tasks that draw on enterprise data and take actions across connected systems.
Gemini Enterprise: Orchestrated AI, Not Just Another Assistant
Over the past year, Google’s AI story has moved from model demos to operational integration. Its progression — first, strengthening the Gemini models; next, weaving AI into Workspace; and now, consolidating everything behind an orchestration layer built for enterprise workflows — is a logical progression following the company's increased attention to Google Workspace in the last year and a half.
Critically, the company opted for an open ecosystem approach, which provides Gemini Enterprise customers the choice of building workflows with any of the 100,000 partners in its agentic AI ecosystem.
The logic behind this sequence is clear: Stronger models enable richer reasoning over long, messy business contexts. Embedding AI throughout Workspace increases familiarity with the assistive features and builds habits. The enterprise platform then ties these strands together with the underlying governance levers that organizations need: identity, security, data access, auditability and policy controls.
No-Code Agent Workbench and Further Google Workspace Integration
As part of the rollout, Google also unveiled deeper integration into Google Workspace, bringing multi-modal agents into Vids and Meet. In Meet, Gemini can now provide real-time translation that matches the speaker's tone and inflection. Google Vids can now generate a video, complete with voiceover, from a static document or slide deck.
Alongside these Workspace integrations, Gemini Enterprise introduces a no-code agent workbench that lets business users build and deploy their own AI agents without writing code. Through a guided interface, teams can design agents that connect to company data, trigger actions across major business systems, while still following enterprise governance rules.
When combined with Google's growing library of prebuilt agents — including recent additions for deep research and data insights — employees can make the leap from simple requests to full process automation.
The 6 Components Gemini Enterprise Unites
The platform consolidates six core components through a single conversational interface.
| Capability | Description |
|---|---|
| Gemini Models | AI models for reasoning and intelligence |
| No-code workbench | Tools for data analysis and workflow automation |
| Agent library | Pre-built and custom agents for specific tasks |
| Data integration | Connections to Workspace, Microsoft 365, Salesforce, SAP |
| Centralized governance | Management of security, visibility and auditing |
| Partner ecosystem | 100,000+ partners for flexibility and innovation |
Google and Microsoft, Off to the Races Once More
Google’s Gemini Enterprise intensifies the head-to-head contest with Microsoft by combining AI models, workflow orchestration and productivity tools into a unified stack. Microsoft's Copilot Studio added multi-agent orchestration in May, enabling agents to hand off tasks, collaborate across domains and coordinate complex workflows.
In the new phase of enterprise AI, the race isn’t about who has the smartest assistant — it’s about who controls the orchestration layer that runs the enterprise. Google and Microsoft aren't alone here. Salesforce and ServiceNow are also racing to build their own orchestration layers as well. But with Gemini Enterprise, Google is betting that openness, not vendor lock-in, will win that race.
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