Google's Gemini Agent Can Now Do Your Work for You

Key takeaways

• Google's new Gemini agent can plan and execute tasks across business apps in the background, complete with its own email address and workplace identity.
• The agent can delegate to specialized subagents and work inside Google Workspace and third-party tools like Slack and Microsoft 365.
• Businesses need clear policies about what the agent can do, who is accountable for its actions, and how to protect sensitive data.
• Start with a small pilot, narrow tasks, and strict access controls before rolling out autonomous agents across your organization.
• The shift from AI assistants to AI workers is happening now, and governance is lagging behind the technology.

What Happened

Google announced a major shift in how AI works inside businesses. At its Gemini at Work event on October 8, the company introduced a "universal" Gemini AI agent (https://www.theverge.com/tech/1007904/google-gemini-ai-agent-enterprise) that moves beyond chatbot assistance to autonomous work. Instead of answering questions when you ask, this agent can plan, execute tasks, and operate in the background across multiple business apps and systems.

The tool will be available through the Gemini Enterprise app. It works inside Google Workspace apps like Gmail, Drive, Docs, Sheets, and Calendar, but also connects to third-party tools like Slack and Microsoft 365 (https://www.theverge.com/tech/1007904/google-gemini-ai-agent-enterprise). You can assign it tasks from your mobile device, desktop, or the web, and because it runs in the cloud, it maintains the same context everywhere.

What sets this apart from previous AI assistants is the infrastructure. Google is giving the agent its own workplace identity, complete with an email address (https://techcrunch.com/2026/10/08/google-brings-agentic-ai-to-gemini-starting-with-businesses/). It can delegate work to specialized subagents and use multiple AI models depending on the task.

Why This Is an Issue

This is a step change from tools that wait for you to ask a question. An agent with its own identity and email can act on your behalf without you watching. That introduces new questions about control, accountability, and security.

When an AI agent sends an email from its own address or modifies a shared document, who is responsible if it makes a mistake? If it has access to sensitive files in Drive or confidential conversations in Slack, how do you ensure it only shares what it should? These are not hypothetical concerns. They are practical questions every business will need to answer before turning on an autonomous agent.

The ability to delegate to subagents and use multiple models adds another layer of complexity. You are not just managing one AI tool. You are managing a system of agents that can spawn tasks and make decisions in parallel. That requires clear policies about what the agent can and cannot do, and logging to track what it actually did.

What You Can Do About It

If you run a business and plan to use this kind of agent, start by defining boundaries. Decide which tasks are safe to automate and which require a human in the loop. A good rule of thumb: let the agent handle retrieval, summarization, and routine coordination. Keep a human responsible for anything that commits resources, makes promises to customers, or touches confidential data.

Before you enable the agent across your organization, run a pilot with a small team. Assign it narrow, low-risk tasks like pulling weekly reports, drafting meeting agendas, or finding files across Drive and email. Watch what it does. Check the outputs. This will help you understand its limits and catch any over-reach before it affects your whole company.

Set up access controls. If the agent gets its own identity, it needs its own permissions. Treat it like a contractor, not an owner. Give it access only to the files, folders, and apps it needs for specific tasks. Use audit logs to track what it reads, writes, and shares. Google Workspace already has these tools. Use them.

Protect your data by reviewing your data-sharing and retention policies. Make sure your team knows that anything the agent can see, it can use. If you have files that should never be surfaced by AI, move them to restricted folders or archive them. If you work with clients who have strict confidentiality agreements, check whether using an AI agent falls within the terms.

Finally, talk to your team. Explain what the agent is, what it will do, and how to escalate when it gets something wrong. The technology is new. Mistakes will happen. The goal is to catch them early and learn.

Where This Is Heading

Google is not alone. Microsoft, Anthropic, and others are all racing to build agents that can work across apps and act on your behalf. This is the next wave of AI in business: not assistants you prompt, but workers you supervise.

Over the next year, expect agents to become more capable and more integrated. They will schedule not just meetings but entire projects. They will draft not just emails but proposals, contracts, and reports. They will coordinate not just with you but with other agents, both inside and outside your company.

The companies that adopt this well will treat agents as part of their operations, with clear roles, limits, and oversight. The ones that struggle will turn them on, assume they work, and deal with the consequences later.

Our read is that the technology is ready faster than most businesses are prepared to govern it. If you wait until your team is asking for an AI agent to think through policies, you are already behind. Start now.