Google’s new Gemini Enterprise agent puts one AI interface across work apps, devices and Slack

Google has unveiled a new enterprise-focused Gemini agent that can handle work tasks across apps and devices from one interface, marking a major push to make its AI assistant a central layer for office productivity. Announced at the company’s Gemini at Work event on Thursday, the cloud-based tool is designed to chat with employees, carry out assignments, and keep context as it moves between Gmail, Drive, Docs, Sheets, Calendar and third-party services such as Slack and Microsoft 365.

The launch is important because it shows how Google wants Gemini to evolve from a chatbot into a persistent workplace agent that can act more like a digital teammate. Rather than asking users to jump between separate AI surfaces, Google is positioning Gemini Enterprise as a single control panel for work tasks that can follow people from desktop to mobile and back again.

What Google announced

Google introduced what it describes as a “universal” Gemini AI agent for enterprise customers, with the tool embedded inside the Gemini Enterprise app. The idea is simple: users should be able to request help once, then let the agent coordinate the work across the connected tools and services that a business already uses.

According to Google, the agent can operate inside the company’s Workspace apps and also through the web, desktop software and mobile devices. It can also connect to outside workplace platforms, including Slack and Microsoft 365, which broadens its usefulness beyond Google’s own ecosystem.

Because the agent runs in the cloud, it is meant to preserve context across devices. That means a task started on a laptop could be continued on a phone without losing the thread, a feature that could make the assistant feel more continuous and more useful in day-to-day office work.

How does the Gemini Enterprise agent work?

The Gemini Enterprise agent works by acting as a central interface for tasks while drawing on different AI capabilities in the background. Google says the system can select the model best suited to the task, which suggests an orchestration layer rather than a single fixed model doing everything.

That flexibility matters for enterprise customers, where one request may require writing, summarizing, scheduling, searching, or coordinating work across multiple systems. By routing the job to the most appropriate model or sub-agent, Google is trying to reduce the friction that usually comes with switching between separate tools.

Why the cloud matters

The cloud-based architecture is central to Google’s pitch. Since the agent is not tied to one device, its memory and working context can follow the user across work surfaces, which is especially useful in hybrid workplaces where employees move constantly between office computers, personal devices and browser tabs.

This also helps Google make the agent feel less like a plugin and more like an always-available service. The company’s description points to a future in which workers simply ask Gemini to do something, and the assistant figures out where and how to complete the task.

What can it do inside Workspace and beyond?

The most immediate use case for the new Gemini agent is work inside Google Workspace, where it can interact with Gmail, Drive, Docs, Sheets and Calendar. Those are some of the most common products used by office teams, so even modest automation there could save users a meaningful amount of time.

Google also says the agent is designed to work outside its own ecosystem. Support for Slack and Microsoft 365 is notable because it signals that Google wants Gemini to sit above the application layer, not just inside its own productivity suite.

That broader reach could make the assistant more attractive to enterprises that run mixed software environments. Many companies use Google tools for some teams and Microsoft or Slack for others, so a single AI interface that can bridge those systems may be easier to deploy than a narrowly scoped assistant.

Examples of likely enterprise tasks

Google did not publish a full list of supported workflows in the announcement, but the structure of the product points to common office jobs such as:

• summarizing documents and email threads
• drafting responses and internal updates
• finding files or information across connected services
• coordinating meetings and calendar changes
• passing a request to a specialist sub-agent

In practice, the value of a system like this will depend less on flashy demos and more on reliability, permissions and security. Enterprises will want to know exactly what the agent can access, what it can change, and how much oversight human users retain.

Why is Google calling it a “universal” agent?

Google is using the term “universal” to signal that the Gemini agent is meant to be a general-purpose work layer rather than a single-feature assistant. The company appears to be aiming for a product that can sit between the user and the many apps they already rely on.

That framing also places Google in the broader race to define the enterprise AI agent category. The pitch is no longer just about answering questions or generating text. It is about doing work across software environments with minimal effort from the human operator.

For Google, the strategic payoff could be large. If Gemini becomes the front door to workplace action, the company gains a powerful position inside daily business workflows, even in organizations that do not use Google for everything.

What is a coworker agent?

A coworker agent is Google’s term for an AI assistant that can be given its own identity and participate in work as a distinct digital presence. Google says this type of agent can have a dedicated identity and even a separate email address in the format “@agents.company.com.”

That detail suggests Google wants enterprises to think of agents not merely as invisible automation tools but as assigned collaborators with recognizable roles. In theory, that could make it easier to route work to a specialized agent or to distinguish between tasks handled by a person and those handled by software.

Google says the agent can act like a coworker with its own identity, separate email address and the ability to take on tasks using whichever model is best suited for the job.

Of course, an AI “coworker” is not a real employee, and businesses will need policies around approval, accountability and data access. But the naming shows how quickly AI vendors are trying to normalize the idea of agents as active participants in workplace operations.

How does it compare with Google’s consumer Gemini tools?

The enterprise Gemini agent differs from Google’s consumer-facing Gemini Spark agent, which the company launched in May for subscribers. Spark can perform tasks across Workspace and the web, but it lives in a separate interface inside the Gemini app rather than acting as a unified enterprise work hub.

That distinction matters because enterprise software buyers usually want more control, stronger administrative features and clearer boundaries than consumer tools provide. Google’s new launch appears designed to meet those requirements while also giving the company a more coherent enterprise AI story.

In effect, Google is now offering two paths: a consumer version for individual productivity and a business-oriented version for organizations that want a shared agent environment. The new enterprise agent is the stronger signal of where Google thinks the market is heading.

Timeline of Google’s Gemini agent strategy

Google’s latest move did not come out of nowhere. It fits a broader pattern of gradually expanding Gemini from a chatbot into a task executor that can operate across more parts of the software stack.

This progression shows Google testing the concept in consumer-facing products before packaging it for corporate deployment. That is a common strategy in software, but in AI it also gives companies time to learn where users trust automation and where they still want manual control.

Why the enterprise angle matters

Enterprise AI is where companies believe the most immediate commercial payoff will be found. Office tasks are repetitive, structured and already mediated by software, which makes them a natural target for automation through AI agents.

Google’s challenge is to prove that its tools can do more than generate decent text. Businesses will only adopt an AI agent deeply if it can reliably complete work inside approved systems, maintain context, and avoid creating security or compliance headaches.

The promise is productivity. The risk is governance. That tension is why enterprise AI products often move more slowly than consumer chatbots, even when the underlying technology is similar.

What enterprises will care about most

For IT and operations teams, the most important questions are likely to be:

1. Which apps can the agent access?
2. How are permissions managed across users and departments?
3. Can the system audit what the agent changed?
4. How is sensitive data protected in the cloud?
5. Can companies choose which model handles each task?

Google’s announcement hints at answers, especially with its mention of model selection and connected services, but the real test will come during enterprise trials.

How Google is positioning Gemini against rival AI assistants

Google’s enterprise agent move reflects a wider industry shift toward AI systems that can do rather than merely say. Across the sector, vendors are racing to build assistants that can coordinate calendars, search databases, manage documents and trigger actions across apps.

Google’s advantage is that it already controls a major productivity suite and has deep experience in search, cloud infrastructure and consumer AI distribution. That gives it a strong base for turning Gemini into an everyday workplace layer if the execution is solid.

Still, the competition is intense. Software companies and cloud providers are all trying to build the interface layer that workers will use to complete tasks. In that contest, whichever tool becomes the default “work window” could win an outsized share of user attention and enterprise spend.

What happens next?

Right now, the Gemini Enterprise agent is only available to enterprise customers in private preview, which means access is limited while Google gathers feedback and tests the product in real-world settings. That stage usually precedes a broader rollout if the company is satisfied with performance and security.

The preview phase will likely reveal how well the agent handles multi-step work, how stable it is across different business environments and whether employees trust it enough to hand off meaningful tasks. Those answers will shape Google’s next move.

For now, the announcement is less about immediate mass adoption than about direction. Google is making it clear that Gemini’s future is not just as a conversational assistant, but as a work platform that can live inside the flow of business.

Bottom line

Google’s new Gemini Enterprise agent is a significant step toward a unified AI assistant for workplaces, combining chat, task execution and cross-app context in one cloud-based interface. If it works as promised, it could become a central tool for enterprise productivity and a defining example of where AI agents are headed next.