- The new Gemini Enterprise Agent platform is an end-to-end build and deployment tool.
- Google is clearly committed to interoperability with support for third-party tools and models
- Even non-technical workers should be able to create their own AI agents.
Google Cloud has introduced Gemini Enterprise, which has evolved into a single interface where users can interact with their AI agents just as they would with their Workspace applications.
At the core of the announcement is the new Gemini Enterprise Agent platform, described as an end-to-end development platform for building, deploying and managing agents at scale.
Designed to make interaction as easy as the rest of the Google Workspace suite, interoperability was also a central message in Google Cloud Next 2026 and is fundamental to the operation of the new agent platform.
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Google wants to make Gemini interactions and management 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 help them be more effective, with the Gemini Enterprise platform acting as a central monitoring and auditing tool.
Maryam Gholami, Senior Product Manager at Gemini Enterprise, also noted that companies have moved from generative AI and agent pilots to large-scale agent deployments, pointing out the need for always-on automation.
“Companies are prepared to create their task force with agents, but this requires doing so within a secure and governed environment,” shared Gholami.
Described by Google Cloud CEO Thomas Kurian as “the primary environment where your business actually operates,” the Gemini Enterprise app has also been revamped with an improved 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 AI agent stack, Google wants to be much more than a tools provider, taking on its rivals with a fully end-to-end deployment and management platform.
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