Google puts Gemini Enterprise at the heart of the new agentic taskforce for enterprise automation

Google Cloud is on a mission to accelerate the adoption of artificial intelligence agents across enterprise computing environments, paving the way for a new era where AI can automate many of the most complicated, multistep tasks currently performed by humans.

To that end, it has announced a major revamp of Gemini Enterprise, saying it intends to transition AI from an isolated productivity tool into a “secure, collaborative autonomous engine” for business. “Companies are ready to build their agentic task force, but this demands doing so within a secure and governed environment,” the company said. “This includes creating and deploying agents with their own identity, registry, and gateway so they can always be traced, monitored, and managed.”

Announced today at Google Cloud Next 2026, the new Gemini Enterprise application arrives at a critical juncture for enterprise AI. Though many organizations have experimented with large language models, the novelty of summarizing emails and generating code is wearing off. Companies are increasingly frustrated by the “human-in-the-loop” bottleneck – the need for a person to sit and prompt an AI through every single step of a multi-stage project.

With Gemini Enterprise, Google wants to solve the problems around siloed AI agents that are difficult to monitor and lack the persistence and context to automate long-term tasks such as monthly financial reconciliations and multiday sales prospecting. By providing a secure, governed environment that gives agents their own identities, tool registries and memories, it believes it can finally convince enterprises to embrace autonomous systems in their most complex workloads.

Building the autonomous workforce

Gemini Enterprise will provide business workers with access to a new breed of “long-running” AI agents that can be built using the new Gemini Enterprise Agent Platform that was also announced today.

They’ll be able to participate in agentic development too thanks to the newly enhanced Agent Designer tool, which provides low-code and no-code interfaces for them to build their own agents, using either natural language instructions or a visual flow designer. It combines generative intelligence with deterministic logic, or essentially strict business rules, to ensure that agents don’t hallucinate or do anything that contradicts the company’s compliance policies.

Users will also be able to codify their unique expertise into “Skills” that essentially formalize specific workflows, such as applying brand guidelines to a project or formatting a report in a particular way, and save them so others can use the same actions. This means users will be able to avoid re-explaining the context each time they ask an agent to perform a more complex task. The agent will simply draw on the necessary skills to get the job done, only when they’re required, to ensure it doesn’t overload its reasoning process.

In addition, Gemini Enterprise is adding a new “Inbox” for agentic management. It’s basically a centralized command location for users to monitor, guide and securely manage all of the agents they’re using. Notifications will be categorized into actionable groups, such as “needs your input,” “errors” or “completed jobs,” so users can quickly see at a glance how their agents are progressing.

To address the “solo” nature of AI, Gemini Enterprise is adding new features called Projects and Canvas, which will transform it from a personal assistant into a team member that everyone can access. Projects provides a shared workspace for humans and agents to co-create, drawing on context from Google Workspace and Microsoft OneDrive. Meanwhile, Canvas is an integrated editor that enables teams to collaborate on Docs and Slides along with AI agents, eliminating the need to keep switching tabs.

Connecting the ecosystem

Google revealed that Gemini Enterprise now supports Bring Your Own Model Context Protocol, which can be thought of as a technical bridge that allows administrators to connect the platform to their internal tools and servers. With this, AI agents built with Gemini can now discover and use tools hosted on companies’ private servers, whenever they need them to complete a task. There’s also a new Agent Marketplace in the Agent Gallery, which allows enterprises to access specialized third-party agents developed by Google partners such as ServiceNow Inc., Oracle Corp. and Accenture Plc.

Finally, Google said it’s doubling down on governance in an effort to appease anyone concerned about what could possibly go wrong. For instance, each agent can be granted its own Agent Identity, essentially a traceable digital ID that allows its work to be tracked and audited. Admins can use the agent’s digital ID to enforce “least privilege access” and eliminate any risk, while the new Agent Gateway helps to protect against the dangers of data leaks and prompt injection attacks, Google said.

The message from Google is clear – the task force of the future won’t just be made up of humans, but a hybrid of experts working alongside persistent, autonomous agents. As these updates roll out over the next few months, Google will help businesses cement a 360-degree view of their AI agents. The goal is to help them understand not only “what” their agents are doing, but also “why” they’re doing it, while providing the necessary safeguards and controls to rein them in at any moment.

Image: Google Cloud