- The new Gemini Enterprise Agent Platform is an end-to-end build and deployment tool
- Google is clearly committed to interoperability with third-party model and tool support
- Even non-technical workers should be able to build their own AI agents
Google Cloud has unveiled Gemini Enterprise, which has evolved into a single interface where users can interact with their AI agents just as they would their Workspace apps.
At the heart of the announcement is the all-new Gemini Enterprise Agent Platform, described as an end-to-end development platform for building, 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 core message at Google Cloud Next 2026 and is critical to how the new agent platform works.
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Google wants Gemini interactions and management to be as easy as possible
Google described the platform as a model-agnostic ecosystem that lets users either access Google’s own models or third-party alternatives for maximum flexibility.
Agents can also share context across systems, apps and workflows to help make them more efficient, with the Gemini Enterprise platform serving as a central monitoring and auditing tool.
Gemini Enterprise Senior Director of Product Maryam Gholami also noted that enterprises have shifted from generative AI and agent pilots to full-scale agent deployments, noting the demand for always-on automation.
“Companies are ready to build their agentic task force, but this requires doing so in a secure and controlled environment,” Gholami said.
Described by Google Cloud CEO Thomas Kurian as ‘the primary environment where your business actually operates, the Gemini Enterprise app has also been redesigned with an improved agent designer so non-technical staff can create workflows with reusable skills with natural language prompts.
A screenshot of the updated interface shows a visual, industry-based builder that can handle “if this, then that” type of breakdowns and human-in-the-loop checkpoints where approvals may be required.
By unifying the entire agent AI stack, Google wants to be much more than a tool provider pushing back against competitors with a complete end-to-end management and deployment platform.
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