Google launches Gemini Enterprise Agent Platform targeting IT teams, adds Claude Opus 4.7 support

Google CEO Sundar Pichai announced the Gemini Enterprise Agent Platform at the Google Cloud Next conference on April 22, 2026. The platform is designed for building and managing AI agents at enterprise scale, competing directly with Amazon's Bedrock AgentCore and Microsoft Foundry.

Focus on IT and technical teams

Google has positioned the Agent Platform specifically for IT and technical teams rather than general business users. According to Google, this reflects the current state of AI agents, which are "furthest along for technical tasks like coding" and where enterprise security concerns remain significant.

Business users are directed toward the separate Gemini Enterprise app, introduced in fall 2025. That app allows them to work with IT-built agents or create their own for tasks including meeting scheduling, trigger-based processes, repetitive task shortcuts, and file creation without switching apps.

Multi-model support including Claude

The platform supports multiple underlying models beyond Google's own offerings. The model lineup includes:

• Google's Gemini LLM
• Nano Banana 2 image generator
• Anthropic's Claude Opus 4.7 (released last week)
• Claude Sonnet (reasoning-focused)
• Claude Haiku (lower-cost option)

The inclusion of Anthropic's full Claude lineup—covering flagship, reasoning, and cost-optimized tiers—represents a significant multi-vendor approach for Google's enterprise AI strategy.

Competitive landscape

Google's announcement comes as major cloud providers compete for enterprise AI agent deployments. Amazon previously launched Bedrock AgentCore, while Microsoft offers Foundry for similar use cases. The enterprise agent-building space is rapidly consolidating around these three major cloud platforms.

Pricing details were not disclosed at the announcement.

What this means

Google's decision to target IT teams first, rather than broad enterprise users, signals a pragmatic approach to AI agent deployment. By focusing on technical staff who understand the technology's current limitations and security requirements, Google is taking a more measured path than competitors who have marketed agent tools broadly. The multi-model strategy, particularly including Anthropic's latest models alongside its own Gemini, indicates Google recognizes that enterprise customers want flexibility rather than lock-in to a single model provider. This could become the standard approach for enterprise AI platforms.