‘The connective tissue between your data, your people, and your goals’: Google Cloud positions Gemini Enterprise as the one-stop shop for all your agentic affairs | Daily Reports Online
- The new Gemini Enterprise Agent Platform is an end-to-end building and deployment tool
- Google’s 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.
Core to the announcement is the brand-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 simple to interact with as the rest of the Google Workspace suite, interoperability was also a core message at Google Cloud Next 2026 and is pivotal 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 effective, with the Gemini Enterprise platform acting as a central monitoring and auditing tool.
Gemini Enterprise Senior Director of Product Maryam Gholami also noted that companies have shifted from generative AI and agentic pilots to full-scale agentic deployments, noting the requirement for always-on automation.
“Companies are ready to build their agentic task force, but this demands doing so within a secure and governed environment,” Gholami shared.
Described by Google Cloud CEO Thomas Kurian as ‘the primary environment where your business actually operates, the Gemini Enterprise app has also been reshaped 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 visual, branch-based builder that can handle ‘if this, then that’ type splits and human-in-the-loop checkpoints where approvals may be required.
By unifying the whole stack agentic AI stack, Google wants to be much more than a tool provider, pushing back against rivals with a fully end-to-end management and deployment platform.
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