- The new Gemini Enterprise Agent Platform is an end-to-end authoring and deployment tool
- Google clearly commits to interoperability with support for third-party templates and tools
- Even non-technical workers should be able to create their own AI agents
Google Cloud unveiled Gemini Enterprise, which has evolved into a single interface where users can interact with their AI agents as they would with their Workspace applications.
At the heart of the announcement is the all-new Gemini Enterprise Agent Platform, described as an end-to-end development platform for creating, deploying and managing agents at scale.
Designed to be as easy to interact with as the rest of the Google Workspace suite, interoperability was also a central message of Google Cloud Next 2026 and is essential to how the new agent platform works.
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Google wants Gemini interactions and management to be as simple as possible
Google described the platform as a model-agnostic ecosystem that allows users to access Google’s own models or third-party alternatives for maximum flexibility.
Agents can also share context across systems, applications and workflows to make them more efficient, with the Gemini Enterprise platform acting as a central monitoring and auditing tool.
Maryam Gholami, senior director of products at Gemini Enterprise, also noted that companies have moved from generative AI and agent drivers to large-scale agent deployments, highlighting the need for ongoing automation.
“Companies are ready to build their agentic workforce, but this requires doing so in a secure and governed environment,” Gholami explained.
Described by Thomas Kurian, CEO of Google Cloud, as “the primary environment in which your business actually operates, the Gemini Enterprise app has also been redesigned with an enhanced Agent Designer, so non-technical workers can create workflows with reusable skills with natural language prompts.”
A screenshot of the updated interface shows a branch-based visual builder that can handle “if this, then that” splits and human checkpoints in the loop where approvals may be required.
By unifying the entire agentic AI stack, Google wants to be much more than a tools provider, fending off competitors with a fully end-to-end management and deployment platform.
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