Google Unveils Gemini Agent for Enterprise Workflows

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At its Gemini at Work 2026 conference on October 8, Google Cloud unveiled “Gemini agent”: a single, universal agent designed for enterprise workloads inside Gemini Enterprise. It receives a task, plans the execution steps autonomously, uses tools, connects to internal company systems, and delivers finished documents, emails, or code. For now, it is available in a private preview for select customers. We break down the key details in our guide to Gemini agent.

What Google announced

Google Cloud CEO Thomas Kurian kicked off the announcement. In a company blog post, he introduced Gemini agent as the “new single, universal agent for work.” Google highlighted several core capabilities:

• A single interface for all work: Answering questions, handling complex documents, generating images and media, and writing and executing code.
• Autonomous planning and tool use: The agent breaks tasks into sequential steps, calls specialized skills and tools, and spins up temporary sub-agents when needed.
• Background persistence: It runs in the cloud for hours or even days after you close your laptop, backed by persistent memory (session, semantic, procedural, and episodic).
• Broad platform reach: Web browser, iOS, Android, Windows, Mac, CLI, Gmail, Drive, Docs, Sheets, Slides, Chat, and Calendar (invoked via @Gemini), as well as Microsoft 365 and Slack.
• Colleague-grade agent identities: Teams can deploy an agent with its own Google Workspace identity - an address under the agents.company.com domain, its own Calendar, Drive storage, and directory listing. It only accesses resources explicitly shared with it.

Kurian summarized the vision in a phrase widely echoed across the tech press: you delegate the desired outcome and return to finished work.

Under the hood: Gemini and Anthropic Claude

Google is decoupling the agent layer from the underlying foundation model. According to the announcement, Gemini agent will run on Google’s Gemini models alongside Anthropic’s Claude, with support for additional proprietary and open-source models coming later. Within the Gemini lineup, Google identified four tiers: Argon (advanced reasoning), Flash (speed and throughput), Omni (multimodal tasks), and Gemma (lightweight open-weights models). The product page strikes a more cautious tone, noting that third-party model selection is currently in early access, with Google models powering the primary rollout today.

Gemini 4 Argon was mentioned during the keynote without updated launch timelines. Following Google’s September 30 update, Argon remains limited to partners in the Fairwind program and is not yet generally available in the Gemini API or Vertex AI as of October 9. You can track full updates in our Gemini 4 hub.

Pricing and rollout schedule

Google has not yet published definitive launch dates by region. According to VentureBeat, the agent is rolling out in private preview to select customers, with broader availability expected “soon.” It will be included at no additional cost for organizations with Gemini Enterprise licenses. 9to5Google reports that general access is planned for Workspace customers on select Business and Enterprise tiers. The official FAQ confirms that background task execution, standalone mobile and desktop apps, and third-party model support are currently in early access.

Base Gemini Enterprise pricing starts at $21 per seat per month for the Business add-on, rising to $30 for Standard and Plus tiers. To see how these costs compare with competing platforms, read our breakdown of Gemini agent vs ChatGPT vs Claude for enterprise.

Data connectors, security, and vertical editions

• Industry-specific agents: Pre-built editions for finance and legal are in preview (integrating data from FactSet, LSEG, S&P Global, iManage, and NetDocuments), with public sector, healthcare, and retail editions scheduled next.
• Enterprise data integration: Generate BigQuery reports using natural language prompts, connect to Databricks, dbt, and SAP via Knowledge Catalog, and query external data stores in AWS S3, Azure, Salesforce, and Workday in place without moving datasets.
• Security architecture: Cryptographically verified identity for every agent, least-privilege access controls, complete audit trails, an Agent Sandbox execution environment, and an Agent Gateway network firewall.
• Cost governance: Hard spending caps per project configurable in the billing console - halting agent operations immediately once limits are met.

Google also reported that nearly 90% of the Fortune 100 currently use Gemini Enterprise in some capacity.

Availability and next steps

For most organizations, Gemini agent cannot be turned on immediately: it remains in gated private preview. If your company already uses Gemini Enterprise or qualifying Google Workspace Business or Enterprise plans, keep an eye on your Google Admin console. Google has not specified whether full feature parity will roll out globally on day one, as international markets sometimes see staged rollouts for deep enterprise integrations. We will update this report as soon as regional launch schedules are confirmed.

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