Oracle expands Google Gemini use across business apps

Oracle and Google Cloud have expanded their partnership to bring Google's Gemini models to Oracle Fusion Applications and Oracle NetSuite, extending Gemini's reach across Oracle's business software portfolio.

Under the arrangement, Gemini models will be available in Oracle AI Agent Studio for Fusion Applications. Oracle also plans to use them in embedded artificial intelligence features across Fusion Applications and NetSuite. The agreement builds on customers' existing access to Gemini models through Oracle Cloud Infrastructure Enterprise AI.

The move broadens Google's presence in Oracle's applications business, which spans finance, human resources, supply chain, customer experience, and software for small and mid-sized businesses. The integration targets customers that want to use different large language models for different tasks inside the software they already rely on for operational workflows.

Oracle AI Agent Studio for Fusion Applications is positioned as a development environment for building and running AI automation and agent-based software using Oracle, partner, and external agents. Adding Gemini gives customers and partners another model option when creating what Oracle calls Fusion-native agents.

Among the models named by the companies are Gemini 3.1 Flash Lite and Gemini 3.5 Flash. Oracle said the former is intended for efficiency-focused use cases, while the latter is designed for more complex reasoning and tasks such as video and presentation creation.

The expansion also signals how major software providers are widening the range of AI models available inside enterprise platforms rather than relying on a single provider. For business customers, that can mean choosing models based on the task, cost, or the type of content being handled, including text, images, and video.

Google Cloud described the announcement as part of a push to place Gemini inside core business workflows and agent-driven processes. The partnership gives Google another route into large installed bases of enterprise software users, while Oracle strengthens its position as a distributor of multiple external AI models through its cloud and applications estate.

"Organisations around the world trust Google Cloud's full AI stack to power critical enterprise workflows and agents," said Satish Thomas, Vice President, Google Cloud. "Our expanded partnership with Oracle is 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."

A second Google executive said the tie-up places the company's models directly into day-to-day business software processes.

"Our partnership with Oracle brings Google's most capable AI models directly into the core application workflows global businesses rely on every day," said Kevin Ichhpurani, President, Global Partner Ecosystem at Google Cloud. "Together, we are making it seamless for enterprises to apply powerful and cost-efficient AI directly where business decisions happen."

Model choice

Oracle's applications executive said model choice is central to how customers deploy AI in practical settings. That is especially relevant in areas such as finance approvals, employee workflows, procurement, planning, and customer operations, where software vendors are trying to embed generative AI without requiring customers to leave the application to use separate tools.

"To achieve the best business outcomes, organizations need the flexibility to choose the AI model best suited to each problem," said Chris Leone, Executive Vice President, Applications Development, Oracle. "By bringing Gemini to Oracle AI Agent Studio for Fusion Applications, we are giving customers and partners greater choice as they build and extend agents and agentic applications that reason through complex, real-world business challenges. Oracle Fusion Applications then turn that reasoning into action through governed workflows, approvals, and transactions."

That focus on governed workflows points to one of Oracle's main arguments for embedding outside models in its software: the model may generate an answer or recommendation, but Oracle wants the application layer to handle approvals, controls, and transaction execution. In practice, that could include drafting responses, summarising records, recommending actions, or supporting decisions before a user completes the final step within Oracle software.

NetSuite, Oracle's business software unit serving a broad range of organisations, is also expected to use Gemini for selected embedded AI functions. Oracle said it is assessing use cases and working with a range of large language models, including Gemini, as it develops those features.

Oracle said NetSuite has more than 44,000 customers in 220 countries and dependent territories. That gives the agreement potential reach beyond large enterprise buyers into mid-market customers that are increasingly looking for built-in AI features in finance, supply chain, customer management, and HR systems.

"AI is at the core of how customers use and experience NetSuite and choosing the right model for the right use case is critical to helping them get more value from AI," said Evan Goldberg, Founder and Executive Vice President, Oracle NetSuite. "As we evaluate various AI use cases in NetSuite, we are working with leading large language models, like Google's Gemini, to help customers improve visibility, automate work, and move from insight to action within NetSuite."