Oracle Adds Google Gemini Models to Fusion and NetSuite

Oracle and Google Cloud are expanding Gemini integration across AI Agent Studio, Fusion Applications and NetSuite, creating new options for partners.

Jul 30, 2026
3 minute read
Channel Insider content and product recommendations are editorially independent. We may make money when you click on links to our partners. Learn More

Oracle and Google Cloud are expanding their AI partnership to bring Gemini models into Oracle AI Agent Studio, Fusion Applications and NetSuite, giving partners more options for building AI agents and automating enterprise workflows.

The integration will let developers select Google’s models for specific business use cases while helping customers balance performance, governance and cost across finance, HR, supply chain, manufacturing, sales and customer service applications.

Google Gemini comes to Oracle AI Agent Studio

Oracle AI Agent Studio enables organizations and partners to build, connect, and manage AI agents for Oracle Fusion Applications. Adding Gemini will allow developers to select Google models alongside offerings from other providers when building Fusion-native agents and agentic applications.

The companies said customers will be able to access models including Gemini 3.1 Flash-Lite, positioned for high-efficiency workloads and price-performance, and Gemini 3.5 Flash, which is intended for more complex reasoning and specialized tasks such as creating videos and presentations.

Chris Leone, executive vice president of applications development at Oracle, said organizations need the flexibility to choose the AI model best suited to each business problem.

“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,” Leone said.

Oracle Fusion Applications can then connect that reasoning to governed workflows, approvals and transactions, according to Leone.

Oracle plans embedded Gemini features in Fusion and NetSuite

Oracle also intends to use Gemini models for embedded AI capabilities within Fusion Applications and NetSuite, selecting the models when they offer an appropriate combination of performance and cost for a particular customer scenario.

Evan Goldberg, founder and executive vice president of Oracle NetSuite, said choosing the appropriate model for each use case will be critical as the company expands AI across its business management platform.

“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,” Goldberg said in a statement.

Advertisement

Partners gain more options for enterprise AI services

For Oracle and Google Cloud partners, the integration expands the range of models available for building AI services around finance, human resources, supply chain, manufacturing, sales and customer service workflows.

The announcement builds on existing access to Gemini through OCI Enterprise AI and its integration with Google Cloud’s Gemini Enterprise Agent Platform. Together, the offerings are designed to support AI agent development, application integration and industry-specific automation.

“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, the president of Google Cloud’s global partner ecosystem. 

“Together, we are making it seamless for enterprises to apply powerful and cost-efficient AI directly where business decisions happen.” 

The expansion gives solution providers another path to develop AI agents inside widely deployed enterprise applications while helping customers evaluate which models best fit individual workloads, governance requirements and budgets.

Victoria Durgin

Victoria Durgin is a technology communications professional and editorial leader specializing in channel technology, cloud marketplaces, managed service providers (MSPs), technology distribution, and partner ecosystems. As Managing Editor of Channel Insider, she oversees editorial strategy and content development focused on helping technology vendors, solution providers, and channel partners navigate an evolving IT landscape. With nearly a decade of experience spanning technology journalism, corporate communications, content strategy, and digital publishing, Victoria has developed deep expertise in the business side of technology. Her work includes creating executive thought leadership content, industry analysis, case studies, and channel-focused reporting that helps organizations better understand market trends, partner relationships, and technology buying decisions. Before leading Channel Insider, Victoria built experience across local journalism, business reporting, social media communications, and corporate marketing. She has worked closely with technology vendors, cloud providers, and managed service organizations to develop content that highlights industry innovation, business growth strategies, and successful channel partnerships. Her portfolio includes case studies featuring mid-sized MSPs across the United States, Canada, and Australia. Victoria's work has appeared in Channel Insider, The Valley Ledger, and Medium. She holds a Bachelor of Arts in Communications and Environmental Studies from Susquehanna University. Through her reporting and editorial leadership, she helps technology professionals stay informed about the trends, challenges, and opportunities shaping the global IT channel.

Channel Insider Logo

Channel Insider combines news and technology recommendations to keep channel partners, value-added resellers, IT solution providers, MSPs, and SaaS providers informed on the changing IT landscape. These resources provide product comparisons, in-depth analysis of vendors, and interviews with subject matter experts to provide vendors with critical information for their operations.

Property of TechnologyAdvice. © 2026 TechnologyAdvice. All Rights Reserved

Advertiser Disclosure: Some of the products that appear on this site are from companies from which TechnologyAdvice receives compensation. This compensation may impact how and where products appear on this site including, for example, the order in which they appear. TechnologyAdvice does not include all companies or all types of products available in the marketplace.