Enterprise artificial intelligence is moving beyond answering questions. The new Gemini agent for work proposes a deeper change: receiving objectives, carrying out processes across different applications, and participating in a team with its own digital identity.
Google describes this proposal as a universal agent that can work with an organization’s context. It can consult authorized information, use tools, coordinate specialized agents, and keep tasks running in the cloud. Its most striking feature is the option to create coworker agents with their own email, calendar, storage, and presence in the corporate directory.
What is the Gemini agent for work?
Google presents Gemini as an agent that brings several capabilities together in one interface. In addition to answering questions, it can work with documents, create content, analyze information, generate code, and perform actions through tools connected by an organization.
The main difference lies in how work is assigned. Instead of describing every step, the user can define an outcome. The agent determines which tasks it needs to complete, which resources it requires, and how to organize the process to deliver a finished result.
An assistant helps complete an action. An agent receives an objective, organizes multiple actions, and returns a result that still requires review.
This does not make artificial intelligence an independent employee. The agent operates within an infrastructure, uses access granted by people, and follows rules established by the organization.
From assistant to digital coworker
The word “agent” is often used to describe very different tools. To understand Google’s announcement, it helps to separate three levels of participation:
| Mode | Main function | Example | Required supervision |
|---|---|---|---|
| Assistant | Answers, summarizes, or proposes content. | Drafting the first version of an email. | Reviewing the response before using it. |
| Agent | Plans and performs several actions to achieve an objective. | Researching a market, organizing data, and preparing a presentation. | Validating sources, calculations, and the final result. |
| Digital coworker | Maintains a persistent role and participates in team processes. | Coordinating documents and progress for a project launch. | Continuous governance, permissions, and defined human ownership. |
The third level introduces the most important organizational discussion. This is no longer only about opening a chat window. It is about adding a digital entity that can appear in conversations, documents, and workflows.
How can it work after the user closes the computer?
The agent’s tasks run in the cloud. A process can therefore continue for hours or days without requiring the user’s computer to remain on. Gemini preserves the task context, memory, and required resources inside the configured enterprise environment.
It can also respond to events or run scheduled tasks. For example, a team could request a recurring report, trigger a review when a particular document arrives, or ask the agent to organize information before a meeting.
This persistence should not be confused with unlimited autonomy. The agent can only act within the tools, permissions, policies, and budgets assigned by the company.
Why would an agent need its own email address?
Google proposes giving coworker agents an independent Workspace account. It can include an email address, calendar, Drive storage, and a presence in the organization’s directory. Team members could add the agent to a conversation, mention it in a document, or assign work to it.
A separate identity makes it possible to distinguish a human action from an automated one. If the agent edits a document or replies in a thread, the history can attribute that intervention to the agent instead of the person who configured it.
Its own email address is therefore not meant to pretend that artificial intelligence is a person. Its most useful purpose is administrative: providing traceability, separating actions, and controlling access to information.
An example for communications and marketing
An organization could create a communications coordinator agent to support campaign tracking. Its work might include:
- Receiving internal requests and classifying them by project.
- Consulting shared documents and gathering background information.
- Preparing draft reports, schedules, or presentations.
- Identifying pending tasks before a meeting.
- Updating a tracking document when new information arrives.
- Alerting the team when a deliverable needs human review.
The agent could reduce the time spent on coordination and administrative work. However, it should not independently approve an institutional statement, interpret a crisis, respond publicly to an accusation, or decide a brand’s position on a sensitive issue.
In communications, context involves more than retrieving data. Intent, timing, relationships, culture, and the potential effect of each message also matter. A technically correct answer can still be strategically wrong.
Which tasks can be delegated and which require human control?
| Reasonable delegation | Mandatory human review |
|---|---|
| Organizing authorized information and documents. | Defining the organization’s public position. |
| Preparing drafts and summaries. | Approving institutional or legal messages. |
| Detecting pending tasks and deadlines. | Responding during a reputational crisis. |
| Building reports from defined sources. | Evaluating ambiguous or unverified information. |
| Running repetitive processes with stable rules. | Making decisions that affect employees, customers, or communities. |
The boundary does not depend only on technical difficulty. A seemingly simple task may still require approval when it involves personal data, commercial commitments, reputation, or consequences for other people.
Identity, permissions, and traceability
For an agent to operate inside a company, it needs access to information and tools. That access should follow the principle of least privilege: the agent receives only the permissions it needs to perform its role.
Google describes separate identities, role-based controls, and audit logs. It also proposes isolated execution environments and policies applied to traffic between agents, tools, and external systems. These controls help answer essential questions:
- Which agent performed an action?
- Who authorized its access?
- What information could it consult?
- Which tools did it use?
- Where can the result be reviewed?
- Which actions is it explicitly prohibited from taking?
Technical controls alone do not guarantee responsible use. If a company shares inaccurate information, grants overly broad permissions, or fails to assign ownership, the agent may efficiently execute a poorly designed process.
Enterprise memory: value and risk
A persistent agent can remember projects, procedures, and previous interactions. This reduces the need to explain the context in every session and provides continuity across different applications.
Enterprise memory also requires clear rules. The organization must decide what information can be retained, for how long, who can correct it, and how to prevent an old interpretation from becoming a permanent truth.
Stored information is not necessarily correct information. Official sources, document versions, and update mechanisms are therefore as important as the agent’s ability to remember.
The main risks for an organization
1. Automating a flawed process
An agent can accelerate a task without questioning whether the original procedure is still useful. Before automating, the organization should review the process, remove unnecessary steps, and define the expected result.
2. Granting excessive permissions
Broad access increases the impact of any error. Permissions should be limited by role, project, and type of information.
3. Confusing fluency with accuracy
A polished presentation may still contain weak conclusions, incomplete data, or mistaken interpretations. A professional-looking result does not replace verification.
4. Diluting accountability
If nobody knows who must approve a decision, the agent can become a convenient explanation after an error. Every workflow needs an identifiable human owner.
5. Replacing conversation with automation
Not every workplace problem is solved through greater efficiency. Disagreement, negotiation, and sensitive decisions require human interaction, not only information processing.
How to prepare a team before adopting agents
- Choose a specific process. Start with a repetitive, measurable, low-risk task.
- Define the expected result. The team should agree on what complete and correct work looks like.
- Assign a human owner. Every automation needs someone who supervises its performance.
- Limit access. The agent should consult only the information required for its role.
- Establish approval points. Sensitive actions should not be executed without confirmation.
- Record and review. Results, errors, costs, and decisions must be auditable.
- Update instructions and sources. Procedures change, and the agent’s memory must reflect those changes.
The best first implementation is not always the most ambitious one. A small, verifiable workflow can create more value than an agent connected to the entire company without precise objectives or limits.
Availability: an announcement does not mean immediate access
The capabilities described are part of the enterprise evolution of Gemini and Google Workspace. However, availability may depend on the product, subscription, region, access program, and Google’s rollout schedule.
Organizations should not assume that every user can immediately create an agent with its own email and calendar. Before designing a process around these features, they should verify which capabilities are enabled in their environment and under which commercial and administrative conditions.
Frequently asked questions about the Gemini agent
Is the Gemini agent the same as the Gemini chatbot?
Not exactly. The chatbot responds to requests within a conversation. The agent can receive objectives, use tools, perform multiple steps, and keep processes running. Available capabilities depend on the product and enterprise configuration.
Can it have its own email address?
Google has introduced coworker agents with a Workspace account, email, calendar, Drive, and their own identity in the company directory. Availability must be verified according to the applicable plan and rollout.
Can it keep working after I close my computer?
Yes. Persistent tasks can run in the cloud. Their duration, tools, and actions remain subject to permissions, policies, and spending limits.
Can an agent replace a communications professional?
It can handle operational tasks such as organizing information, preparing drafts, and tracking work. It does not replace the judgment required to interpret context, manage relationships, make reputational decisions, or respond to a crisis.
Who is responsible if the agent makes a mistake?
The organization that configures, authorizes, and uses the agent remains responsible. A digital identity improves traceability, but it does not transfer legal, ethical, or professional accountability to artificial intelligence.
Conclusion
The Gemini agent for work represents a shift from occasional assistance to persistent participation by artificial intelligence in business processes. Its own email address is the most visible feature, but not the most important one. The deeper change is the combination of identity, memory, tools, permissions, and the ability to perform tasks over extended periods.
This evolution can reduce administrative work and improve project continuity. It also requires companies to decide which functions they want to delegate, which information they can share, and who will supervise each result.
The question is not whether an agent can look like a member of the team. The useful question is whether the organization has defined the rules required for its participation to create value without weakening judgment, security, or human accountability.
Sources and official documentation