Google introduces the Gemini agent as an AI colleague to do business work with minimal instruction. Gemini at Work 2026 revealed on October 8 is an agent that takes a goal, charts a course, and completes the task with connected tools. It can operate within Google Workspace, Microsoft 365, Slack, and Jira, remain within its own identity, and Google provides an audit trail, permissions, and budget limits to give enterprises control over how their AI behave.
AI Coworker Has Its Own Email Address
Prime example: build out a coworker agent with a unique identity. People can specify what kind of virtual coworker they want. Gemini will create an agent that has its own email address, calendar, Drive space, and its own listing in a company directory.
How Employees Can Use the Agent
Customers can access the agent through the tools they use every day. Employees can include the agent in a Google Chat space, mention the agent in chat conversations, or reference the agent in document comments. Another example is that a marketing team can send an events coordinator agent to create a launch readiness document. The agent could fill out the form and distribute it to the team. It could also suggest changes within Google Docs and reply to comments under its name.
Connects Workspace, Microsoft 365, Slack and Jira
Gemini integrates with the software tools that companies use now. It supports Gmail, Drive, Docs, Sheets, Slides, Calendar, Microsoft Office and Teams, Slack, Git, Jira, Salesforce and ServiceNow. Tahrough these integrations, the agent can use various apps on behalf of the user and eliminate the need to type the same details again and again. For instance, the agent can do market research, generate a financial model in Sheets, and produce a slide presentation.
- Reusable Skills: Google is also rolling out reusable skills, which guide the agent on how to complete certain workflows. Custom skills can be created and shared between teams to help different departments automate repeatable work. Based on the received work, the agent chooses the appropriate tools and skills.
- It’s Multi-model Orchestration: In addition to Gemini, Google can choose between Google’s Gemini models and Claude models from the competition’s maker, Anthropic – selecting a suitable model for a given task. Google claims this makes it easier for companies to manage between performance and operating costs.
Security Controls and Spending Limits
Google has made security and governance top priorities for Gemini agent deployments. Every agent is assigned a unique identity and role-based permissions, which give administrators control over what it can access and perform. In addition, the company maintains an audit trail of agent actions. In the audit trail records, activities are associated with an agent rather than a specific user, enabling a company to audit the agent’s work
Between agents running in a secure setting (Agent Sandbox), the authorizer applies network policies to the data passing between agents and outside services. This control limits the risk when businesses open up more AI autonomy. Google also rolls out real-time spending caps via the Cloud Billing Console. Admins can choose a hard cap on the AI spending of a project. When that cap is hit, the agent is paused until the team resumes it.
Google Expands AI for Enterprise Work
Gemini is just one part of Google’s larger effort to turn AI into a business tool. Its persistent execution, workplace integrations, dedicated identities, and management capabilities are aimed at more than just the default Apple iPhone level of AI use.
Through capabilities that enable agents to plan tasks and collaborate across apps, Google is seeking to cut down on duplication of effort while enabling companies to manage who has access and how much they’re spending. The rollout also offers a method for companies to delegate AI team duties. As businesses use more autonomous AI tools, however, concerns about governance and cost may be as crucial as the agents’ ability to get things done. The Gemini agent combines these features into one system designed specifically for enterprise applications.
