Oracle plans to add Google's Gemini models to AI Agent Studio for Fusion Applications, expanding its partnership with Google Cloud and giving customers another option for building AI agents.

Big Red also intends to use Gemini models for embedded AI use cases in Oracle Fusion Applications and Oracle NetSuite.

In a prepared statement, Google Cloud VP Satish Thomas said that the partnership was designed to “make it easier for organizations to use Gemini in the applications and agentic workflows they rely on to automate workflows, accelerate decisions, and drive outcomes.”

Google's Gemini models will be available in Oracle AI Agent Studio, where customers and partners can build Fusion-native agents and agentic applications. Oracle said the integration would also provide expanded multimodal capabilities. Gemini 3.1 Flash Lite and Gemini 3.5 Flash will be available through AI Agent Studio alongside Oracle's existing model options.

Oracle applications development executive VP Chris Leone said in a statement that the move would give customers and partners “greater choice as they build and extend agents and agentic applications that reason through complex, real-world business challenges.”

When Oracle launched its platform for putting LLM-powered agents in its Fusion application suite - the target migration path for thousands of organizations around the world running Oracle applications - it said customers could use models from Cohere and Meta, while connecting other supported models through the platform.

The Register has asked Big Red whether Cohere and Meta models will remain available, and we'll update this if we hear back.

After Oracle launched Fusion Agentic Applications earlier this year, Gartner advised that there were unanswered questions about how the technology would be implemented.

Balaji Abbabatulla, Gartner VP and vendor lead analyst for Oracle, said: "Our position is that this sounds good, but be cautious. It doesn't necessarily look as glittery as it sounds. There are challenges under the hood which are not being overcome right now, but maybe over time."

He also pointed out that Oracle and other vendors must still answer the question of who takes responsibility for AI decision-making should it go wrong. If an AI agent makes a bad decision at scale and speed, errors could cascade before anyone notices. Oracle's answer so far is monitoring and audit tooling, but Abbabatulla is unconvinced: "I don't see a clear response from any vendor on the liability issue." ®