Oracle & Google Cloud Partnership: Gemini Model Comes to Enterprise Applications

Oracle and Google Cloud are expanding their partnership by bringing the Gemini model to enterprise applications used to manage finance, human resources, supply chain, sales, and customer service.

This integration is planned to includeOracle AI Agent Studio for Fusion Applications, Oracle Fusion Cloud Applications, dan Oracle NetSuite. 

Companies will be able to choose Gemini models to build AI agents, analyze business information, generate content/multimodal, and carry out workflow automation with control and approval that already available in the Oracle system.

The announcement on July 30, 2026, expands Oracle and Google Cloud's collaboration, which previously included access to Gemini models through OCI Enterprise AI and provisioning of the Oracle AI Database in the Google Cloud environment.

Key Takeaways

• Gemini will be available as a model option in Oracle AI Agent Studio for building Fusion-based agents and agentic applications.

• Oracle plans to use Gemini in embedded AI features in Fusion Applications and NetSuite, rather than simply providing a separate chatbot.

• The integration is still in the rollout stage so availability, functionality, and implementation schedule may vary across products.

What Is the Oracle Google Cloud Partnership?

Source: AI

Oracle Google Cloud Partnership is the same multicloud that connects the databases, business applications, infrastructure, and AI technologies of both companies.

Oracle brings enterprise database systems and applications that store critical operational information.

Google Cloud provides Gemini models, AI services, analytics, and a platform for building and managing agents.

This combination allows organizations to use AI on business data without having to build the entire integration layer from scratch.

In April 2026, the two companies also introduced the Oracle AI Database Agent for Gemini Enterprise.

The agent allows users to ask natural language questions against Oracle data without having to write SQL.

The system can translate user intent, retrieve authorized data, and then return answers based on business context.

The latest expansion goes even further.

Gemini is not only used to read databases, but is planned to be incorporated into applications where business decisions and transactions are executed.

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Gemini Enters Oracle AI Agent Studio

Oracle AI Agent Studio is a development platform for building, connecting, running, and managing monitor AI agents within Oracle Fusion Applications.

Agents can come from Oracle, partners, or external providers.

With Gemini integration, customers and partners gain more choices when determining the model for a task.

They don't have to use the same model for the entire process.

Low-cost models can be chosen for large-scale routine tasks, while models with stronger reasoning and multimodal capabilities can be used for complex tasks.

Oracle says customers will be able tot accessGemini 3.1 Flash-Lite, which is designed for efficiency and price-performance ratio, as well asGemini 3.5 Flashfor more complex reasoningand special assignments, including creating videos or presentations.

This multi-model approach is important for companies.

Summarizing thousands of expense reports doesn't always require the most expensive model.

In contrast, analyzing supply chain disruptions, assessing multiple scenarios, and compiling visual materials may require higher-level skills.

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Impact on Oracle Fusion Applications

Oracle Fusion Applications covers ERP, Human Capital Management, Supply Chain andManufacturing, and Customer Experience. 

Gemini is planned for use in embedded AI scenarios within these application suites.

In finance, AI agents can help extract invoice data, match payments, explain balance changes, detect transactions that require review, and prepare actions for human approval.

In HR, models can help summarize employee information, answer policy-related questions, prepare recruitment responses, or support interview scheduling.

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In the supply chain, Gemini can potentially be used to analyze reports, identify causes of stockouts, compare suppliers, and develop recommendations based on inventory and order data. 

In sales and service, agents can summarize customer accounts, identify opportunities, and prepare follow-up actions.

Oracle emphasizes that AI reasoning results can be translated into action through workflows, approvals, and transactions managed within Fusion. 

This means AI doesn't just generate text but can be embedded within business processes with clearly defined boundaries.

How is Gemini Used in NetSuite AI?

Oracle also plans to implement the Gemini p modelthere are a number of use casesNetSuite AI. 

NetSuite is used to manage finances, operations, inventory, customers, and HR, especially by growing companies and organizations with integrated ERP needs.

Gemini can be chosen when the model provides the right combination of quality, speed and cost.

Users have the potential to gain better business visibility, reduce administrative work, and turn information into immediate action within NetSuite.

However, Oracle has not yet announced a complete list of Gemini features, a detailed release date, or which NetSuite packages will receive it.

Official statements still use the terms “plans” and “expects,” so the integration should be understood as a product direction in development, not a feature that will automatically be available to all customers.

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How Workflow Automation Works with Gemini

In simple terms, the workflow begins when a user or system provides a goal. 

The agent then uses the Gemini model to understand the request, examine the context, and formulate the necessary steps.

Agents can retrieve data from Oracle modules according to their permissions, analyze it, and then generate recommendations or prepare transactions. 

If an action requires approval, Oracle workflows can route it to authorized users.

For example, a supply chain agent can detect stock-out risks, search for inventory and demand data, estimate the impact on revenue, and then prepare stock transfer recommendations.

The action does not have to be executed immediately; the company can establish a human review and approval stage.

This model makes workflow automation more controlled than using public chatbots that are separate from data, user roles, and company rules.

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Benefits for Companies

The primary benefit of integration is model flexibility. Organizations can choose Gemini if ​​it's more appropriate for a particular scenario without abandoning their existing Oracle applications.

Integration can also reduce switching between applications.

Employees don't need to copy ERP data into a separate AI tool to create summaries, analyses, or presentation materials.

On the development side, teams can deploy reusable agents, connect internal and external agents, and monitor their quality and behavior through AI Agent Studio.

Oracle provides an observability and evaluation framework so companies can assess agent performance before expanding their use.

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Implementation Challenges to Consider

Model selection is only one part of enterprise AI implementation. Organizations still need to determine what data should be accessed, what actions agents can take, and which decisions should be subject to human review.

Data quality also determines the results.

A robust model will not produce accurate analysis if inventory, customer, or financial data is incomplete.

Costs need to be calculated based on usage volume, task complexity, and the model selected. Gemini 3.1 Flash-Lite can be used for efficient tasks, while Gemini 3.5 Flash can be deployed on processes requiring more complex multimodal reasoning or output.

Companies should also test for risks of hallucinations, bias, excessive access, and automation errors.

For financial, HR, or compliance processes, AI should function within clear policy boundaries, audit trails, and approvals.

Conclusion

Oracle and Google Cloud's partnership brings the Gemini model closer to everyday business processes.

Gemini is planned to be available in Oracle AI Agent Studio and used for embedded AI cases in Oracle Fusion Applications and NetSuite.

The main value of this collaboration is not only the ability to produce text.

Gemini can help agents understand context, analyze data, and prepare actions, while Oracle provides business data, access control, workflow, approval, and transactions.

Its success will depend on the quality of integration, governance, costs, and the company's ability to choose the right model for each job.

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FAQ

What is Oracle Google Cloud?

Oracle Google Cloud is a multicloud partnership that connects Oracle databases and applications with Google Cloud infrastructure, analytics, and AI technologies.

What Gemini models will be available on Oracle?

Oracle calls Gemini 3.1 Flash-Lite for price-performance efficiency and Gemini 3.5 Flash for complex reasoning and specialized tasks such as video and presentations.

Is Gemini available in all Oracle Fusion Applications?

Not necessarily. Oracle has announced plans to make Gemini models available in AI Agent Studio and to use them in embedded features. The timeline and scope of availability may vary.

What is the function of Oracle AI Agent Studio?

This platform enables organizations to build, connect, run, evaluate, and monitor AI agents that work with Oracle Fusion Applications processes.

How does Gemini help NetSuite?

Gemini is planned to help with scenarios such as increasing visibility, automating work, analyzing information, and turning insights into action within NetSuite.

Can AI agents execute automated transactions?

Agents can be configured to prepare or execute actions through Oracle workflows. Companies can define access, approval, and human involvement rules based on risk levels.