AI & Models
Google targets enterprise IT with new agent-building tool
Google launched the Gemini Enterprise Agent Platform, a new tool for IT teams to build and manage AI agents, positioning it against Amazon and Microsoft offerings.
Google CEO Sundar Pichai announced the launch of the Gemini Enterprise Agent Platform on Wednesday, opening the Google Cloud Next conference with a video address. The new platform is designed to enable technical and IT teams to build and manage agents—which are artificial intelligence software systems designed to perform tasks autonomously—at scale. By launching this platform, Google is positioning itself to compete directly with existing enterprise agent tools from competitors, specifically Amazon’s Bedrock AgentCore and Microsoft’s Foundry. Both Bedrock AgentCore and Foundry serve as enterprise AI agent tools, and Google’s new platform represents a direct challenge to these offerings in the enterprise market.
Rather than offering a single tool for all corporate employees, Google is segmenting its enterprise AI strategy. The company is directing business users toward the Gemini Enterprise app, which was introduced in the fall, rather than the new platform. Through the Gemini Enterprise app, business users can interact with the agents built by their IT departments. Alternatively, business users can build their own agents for tasks. According to Google, these tasks include scheduling meetings, executing trigger-based processes, creating shortcuts for repetitive tasks, and creating or editing files directly without needing to switch between different applications.
To support these workflows, the Gemini Enterprise Agent Platform allows technical teams to tap into underlying models. The platform supports Google’s own Gemini LLM (Large Language Model) and its Nano Banana 2 image generator. In addition to its own models, Google is supporting models from Anthropic. The platform integrates with Anthropic’s Claude family of models, including Claude Sonnet, Claude Haiku, and the Claude Opus 4.7 model, which was launched last week. This multi-model support allows enterprise IT teams to select different models depending on the specific requirements of the agents they build, giving them flexibility across different model providers.
Why it matters
Google is segmenting its enterprise AI strategy by separating technical agent-building tools from general business applications, directly challenging enterprise platforms from Amazon and Microsoft.