Google Cloud has launched Gemini Enterprise, a unified “agentic AI” platform positioned as a single front door for artificial intelligence in the workplace. Announced on October 9, the platform integrates Google’s Gemini models with pre-built and custom AI agents, a no-code orchestration workbench, enterprise data connectors, and centralized governance—packaging what the company describes as an end-to-end system for automating complex, multi-step work across an organization.

Framed as the evolution of Google’s prior orchestration efforts, Gemini Enterprise is designed to be used by every employee through an intuitive chat interface. Behind that interface sit six key elements: the latest Gemini model family; a taskforce of Google-built agents for functions such as deep research, idea generation, and data insights; tools for organizations to create their own agents or adopt those from partners; a no-code workbench to compose and coordinate agents; secure data integrations that ground agent outputs in organizational context; and a central governance layer to visualize, secure, and audit usage. The platform connects to data in Google Workspace and Microsoft 365, as well as applications including Salesforce and SAP, reflecting Google Cloud’s emphasis on operating within existing enterprise stacks while enforcing security and compliance controls.

“Gemini Enterprise is designed on the premise that true business transformation in the era of AI must go beyond simple chatbots,” said Sundar Pichai, CEO of Google and Alphabet. “You need a comprehensive and integrated platform that brings all your company’s data, tools, and people together in one secure place. Gemini Enterprise is an AI-powered conversational platform designed to bring the full power of Google AI to every employee for every workflow.” Thomas Kurian, CEO of Google Cloud, underscored the same point from an operational perspective, noting that many early deployments of AI “were stuck in silos, unable to orchestrate complex work across an entire organization.” He added, “True transformation requires a comprehensive platform that connects to your context, your workflows, and your people – and that’s exactly what Google Cloud has built with Gemini Enterprise.”

For Asia Pacific customers, Google Cloud APAC president Karan Bajwa highlighted the platform’s role in mobilizing multi-agent workflows across the full corpus of enterprise content—documents, email, chat, and business apps. Early adopters cited in the announcement include Capital A’s AirAsia brand owner Abc, FairPrice Group, GovTech Singapore, Indosat Ooredoo Hutchison, and Macquarie Bank. “This isn’t just about making it easier to complete one task in any single application; Gemini Enterprise transcends that,” Bajwa said. Tony Fernandes, CEO of Capital A and acting CEO of Abc, positioned the deployment as part of the group’s shift to become “an AI-first company,” putting “intelligent, ready-to-use enterprise AI agents—grounded in our unique expertise, knowledge base, and ecosystem data—into the hands of employees everywhere.” Macquarie Bank’s Richard Heeley said that giving “every single employee” access to Gemini Enterprise aims to accelerate delivery, focus teams on higher-value tasks, and improve customer outcomes, supported by tailored AI-literacy training paths.

A notable showcase will come via a new partnership naming Google Cloud the official cloud provider for the LA28 Olympic and Paralympic Games. According to the announcement, Gemini Enterprise and Google Workspace will be used for planning and logistics, including the coordination of more than 70,000 volunteers and workforce members—an at-scale test of agentic workflows in a high-stakes, real-world environment. Google positions this not only as a fan-experience upgrade but as an operational proof point for agentic AI in large, distributed programs.

Feature-wise, Google is expanding the catalog of pre-built agents available within Gemini Enterprise. A new Data Science agent automates data wrangling and ingestion, accelerates exploratory analysis, and can generate and execute multi-step plans for model training, fine-tuning, and inference. Other highlighted agents include Deep Research, which synthesizes information across internal and external sources into comprehensive reports from a single prompt; Idea Generation, which autonomously produces and evaluates novel concepts; and NotebookLM Enterprise, which distills complex information from multiple inputs—Docs, Slides, PDFs, URLs, YouTube links, and audio—into digestible content for teams.

Gemini Enterprise also integrates with Google Cloud’s Customer Engagement Suite, with next-generation conversational AI agents now available in preview. These agents can be built once in a no-code visual builder and deployed across telephony, web, mobile, email, and chat in more than 40 languages. Powered by the latest Gemini models, they are designed to handle natural-sounding speech, accent transitions, and real-world audio noise. By connecting directly to Gemini Enterprise, customer-facing agents can draw on real-time business context for deeper personalization while remaining under the same unified governance controls as internal agents.

Ecosystem and skills are central to Google’s go-to-market plan. The company cites more than 100,000 partners supporting open, cross-platform workflows with technology providers such as Box, OpenText, SAP, ServiceNow, and Workday, and systems integrators including Accenture, BCG, Deloitte, McKinsey, NTT Data, TCS, and others. To accelerate adoption, Google Cloud introduced several workforce programs: Google Skills, a free training platform aggregating 3,000 courses and hands-on labs from across Google; the Gemini Enterprise Agent Ready (GEAR) sprint to train one million developers on building enterprise-ready agents; Gemini Agent Foundry, a community-driven hackathon and marketplace for enterprise-grade agents; and Delta, a program embedding Google Cloud AI engineers side-by-side with customer teams to address complex challenges. “These programs are all designed to do one thing: help you and your teams build your future with AI,” Kurian said, emphasizing measurable ROI from AI investments.

Underpinning the product narrative is an emphasis on openness and governance. Google highlights native integrations with shared industry standards and frameworks—such as protocols for agent-to-agent communication, transactions, and modular development—intended to reduce lock-in and support interoperability. At the same time, the centralized governance framework is presented as a response to enterprise risk concerns, offering visibility and control across the agent lifecycle from creation to deployment and auditing.

With Gemini Enterprise, Google Cloud is making a case that organizations are ready to move beyond single-purpose copilots toward orchestrated, multi-agent systems grounded in their own data and processes. The coming months will test that proposition across both internal productivity use cases and customer-facing interactions, with LA28 providing a high-profile benchmark. For enterprises evaluating AI platforms, the message from Google is clear: a unified, secure, and context-aware agentic fabric can help translate AI experimentation into operational impact—if teams have the tools, governance, and skills to use it.