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Google makes an interesting choice with its new agent-building tool for enterprises

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Apr 23, 2026
2 min read
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Google makes an interesting choice with its new agent-building tool for enterprises
Google introduced the Gemini Enterprise Agent Platform at Google Cloud Next 2026, providing enterprises with a new way to build and manage AI agents at scale. Designed primarily for IT and technical teams, this tool taps into advanced models such as Gemini and Claude to accelerate automation and productivity.

Google makes an interesting choice with its new agent-building tool for enterprises

Google Unveils Gemini Enterprise Agent Platform at Cloud Next 2026

At the recent Google Cloud Next conference, CEO Sundar Pichai introduced one of the company's major new releases: the Gemini Enterprise Agent Platform. This innovative tool is designed for organizations looking to build and manage AI agents at scale, directly taking on products like Amazon’s Bedrock AgentCore and Microsoft Foundry.

A Focus on IT Teams and Security

The platform is aimed primarily at IT and technical staff within enterprises, a strategic move given the current emphasis of AI agents in automating technical tasks like coding. As enterprise adoption of AI is still emerging, Google places a strong focus on security and scalability for these use cases.

Empowering Business Users

For non-technical employees, Google offers the Gemini Enterprise app, which allows users to utilize agents built by IT or create their own for everyday business needs. These tasks include scheduling meetings, automating repetitive processes, managing files, and more, all without switching applications.

Advanced Models and Integrations

The new tools use advanced models such as Google’s Gemini large language model (LLM), the Nano Banana 2 image generator, and Anthropic’s Claude suite (including Claude Opus, Sonnet, and Haiku). Notably, support for the recently launched Claude Opus 4.7 ensures access to leading-edge AI capabilities, with options to balance cost and performance for enterprise needs.

For further details, you can read the original article by Julie Bort at TechCrunch.

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