Oracle has taken a strategic step to accelerate the adoption of agentic artificial intelligence in the enterprise. The company has expanded its AI Agent Studio for Fusion Applications with new pro-code tools that allow developers to build, test, and deploy AI agents directly from their favorite development environments, without sacrificing governance or integration with corporate systems.

A CLI that connects code assistants with Fusion

The new command-line interface (CLI) provides the specific Fusion context and utility set that AI-based coding assistants need to build native platform applications. It offers access to project structure, APIs, templates, validation, packaging, and deployment flows necessary to develop Fusion Agentic Applications, according to Natalia Rachelson, senior vice president of product for Fusion Applications at Oracle, speaking to InfoWorld.

Rachelson described it as “Oracle’s development harness for AI-based coding assistants. Developers can use models like Codex or Claude Code to generate code, while AI Studio Skill connects those models with Oracle AI Agent Studio and the Fusion runtime.”

Familiar tools to simplify development

Access to familiar IDEs and workflows will make it easier for development teams to build and maintain agentic applications oriented to business processes, according to analysts consulted.

Scott Bickley, advisory fellow at Info‑Tech Research Group, highlighted that “AI Studio Skill gives developers a way to create Fusion agents as if they were new software features, rather than configuring them as application extensions.”

He added: “Enterprise developers expect version control, code review, repeatable deployments, testing or debugging, and integration with their existing toolchains. Connecting different IDEs and code assistance products will make it easier to build, validate, and maintain agentic applications using already familiar tools and processes. This, in theory, will result in agents that are easier to govern, maintain, and align with enterprise development practices.”

For Robert Kramer, managing director at KramerERP, Oracle’s move will drive adoption of the Studio itself: “Oracle is meeting developers where they already work and making Fusion a more attractive place to build agent-based applications.”

A native ‘runtime’ that reinforces governance in production

Beyond productivity, the CLI and IDE integrations address governance and execution challenges that often prevent AI prototypes from reaching production, according to Bickley.

“One of the most painful barriers to bringing AI to production is that many prototypes are built outside the enterprise systems where identity, permissions, workflow approvals, and governance already exist,” he explained.

In contrast, these integrations allow agentic applications to run within the Oracle platform, leveraging existing business context, identity, approvals, and governance, rather than recreating those capabilities through external orchestration layers when moving to production.

That shift, the analyst added, will benefit CIOs by accelerating business outcomes within a trusted environment.

Kramer agreed: governance, observability, and lifecycle management become more relevant for CIOs once agentic applications enter production.

Governance advantages come with strategic trade-offs

Analysts warn that building and running agentic applications natively in Oracle Fusion is not without trade-offs.

For Bickley, CIOs must pay attention to the risk of vendor lock-in as more business processes become agentic.

“In the case of Oracle Fusion, ensure that the ATLAS framework provides an accurate validation layer with low overhead cost. Consider the contractual or commercial levers Oracle might use in the future,” he said, adding: “ROI should be modeled against a progressive monetization scheme, given that AI agents operate on consumption-based infrastructure. Therefore, ensure you agree on provisions that limit increases and overruns before being locked in.”

These considerations are increasingly relevant because most major enterprise software vendors—including SAP and ServiceNow—are introducing capabilities to become the runtime and orchestration layer for enterprise AI. For example, the data and cost strategy of AI is a hot topic in the industry.

In May, SAP expanded its AI strategy with the Autonomous Enterprise vision, introducing the unified Business AI Platform, Joule Studio 2.0, and AI Agent Hub to enable companies to build, govern, and run AI agents within a managed runtime.

In June, ServiceNow reinforced its AI transformation by adding new features to its Context Engine and AI Control Tower, aiming to better integrate governance, business context, and observability into AI workflows.

That same month, Salesforce, through its acquisition of Informatica, added capabilities to link AI agents more closely with trusted enterprise data and operational flows.

Availability and developer resources

Oracle reported that developers and companies wanting to try the new CLI-based experience can access it directly from the Studio at no additional cost.

The company will also add a public GitHub repository that includes templates, starter projects, sample applications, reusable assets, and reference architectures to help developers build and validate agent-based applications more quickly.

For IT professionals, Oracle’s move reinforces the trend of integrating AI into existing workflows, facilitating adoption without losing control.

Original source: ComputerWorld. Analysis and adaptation by ForgeNEX.