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The Right Way to Bring AI Agents Into Oracle EBS

How to Connect AI Agents to Oracle EBS Without Bypassing Security, Business Logic or Access Controls

AI may be advancing at record speed, but enterprise readiness is another story. Between the excitement, uncertainty and pressure to keep up, organizations seem to have divided into three schools of thought.

The first group is extremely cautious. They limit AI to on-premises models or approved platforms such as Microsoft Copilot, where employees may use it to draft emails, answer questions or conduct research. But it remains primarily a personal productivity tool, disconnected from the systems where business transactions take place.

The second group is AI-curious. They are evaluating tools, conducting proofs of concept, establishing steering committees and searching for potential use cases. But many have yet to take the next step.

Is Your Enterprise Actually Ready for AI Agents?

We see this frequently with our own customers. They attend a demo, tell us they are interested in AI, and then ask us to identify the business process where it could deliver value. They want to incorporate the latest technology, but the initiative is not necessarily being driven by a real business need.

Finally there are technologists. They attend conferences, follow every announcement and want to experiment with the latest advances as quickly as possible. I understand that instinct. As a technologist myself, I find these developments incredibly exciting.

But in the rush to innovate, organizations can bypass essential stages of the security lifecycle. They begin connecting AI to enterprise systems before establishing the necessary guardrails, access controls and oversight. They focus on what the technology can do before deciding what it should be allowed to do.

Connecting AI to Oracle Is the Easy Part

We see this risk clearly in the Oracle ecosystem. Technologies such as Oracle REST Data Services can expose database objects as REST services, while database-level MCP servers can allow AI clients to query enterprise databases and retrieve information from systems such as Oracle E-Business Suite.

This is extremely powerful and useful for reporting, research, analytics and database administration. But reading information and executing a business transaction are very different risk profiles.

There’s a big difference between AI that can see and AI that can do.

An AI agent checking whether 500 units are available in inventory is useful. An AI agent that can move those 500 units to another warehouse, create a sales order, post a journal entry or initiate a supplier payment is playing an entirely different game. The moment AI moves from insight to action, the risk changes.

That doesn’t mean we should keep AI locked out of our enterprise systems. Quite the opposite. But before we hand an AI agent the keys, we need to decide exactly which doors it can open.

What can it see? What can it change? Which transactions can it execute? When does it need approval? And perhaps most importantly, what happens when someone asks it to do something it was never supposed to do? Ideally, nothing. And that should be by design.

How to Bring Governed AI Agents to Oracle E-Business Suite

An agent’s entire world should be limited to the catalog of business processes we deliberately make available to it. No prompt, however clever, can invoke a capability that simply isn’t there.

And even when a process is available, that doesn’t mean the agent gets free rein. It should operate under the same Oracle credentials, responsibilities, business rules and validations as the person it is working for. Sensitive actions can require human approval before anything changes, while every request—whether executed or refused—is logged and auditable.

That is a fundamentally different security model from giving an AI broad access and relying on guardrails to stop it when it goes too far. Sometimes the safest answer to a dangerous request isn’t a better guardrail. It’s making sure the capability was never available in the first place.

As AI agents become more capable, the goal shouldn’t be to continually give them more access. It should be to give them exactly enough access to do their job—and no more.

Because the future of enterprise AI won’t be defined only by what our agents can do. It will be defined by what we’re smart enough to let them do.

Some organizations are already benefiting from AI capabilities embedded within their SaaS applications. Oracle Fusion, for example, includes a growing range of predefined AI capabilities. Oracle has identified appropriate use cases and built them into the platform with authentication, single sign-on, roles, responsibilities and application security.

Leveling the AI playing field: Oracle EBS AI Agents Out of the Box

Organizations running legacy applications have not always had that advantage. Oracle EBS and Oracle Forms applications contain years of business logic, security rules, approvals and organizational knowledge, but they were not designed to interact with AI agents.

That does not mean organizations need to replace these systems to benefit from AI. They need a secure way to connect AI to the business processes those systems already manage.

For more than 20 years, we have helped Oracle customers get more from their existing systems. We have used REST services to support integration, collaboration, modernization and automation without requiring organizations to rewrite their underlying Oracle applications. Now, we are applying that experience to AI.

AuraPlayer makes specific Oracle EBS business processes available to AI clients through a controlled MCP connection. Instead of giving an agent direct access to the database, it allows the agent to initiate a predefined process as a REST service that will automate the Oracle application.

The approach brings together RPA, APIs and MCP, protected by Oracle login credentials and industry-standard authentication methods such as OAuth. AI understands the request, MCP tells the agent which processes are available, the API defines the boundaries, and AuraPlayer executes the business process through Oracle EBS while preserving its existing business logic and validations. The agent can request an action, but it does not decide which tables to update or create its own path through the database. That distinction is the whole design: the robots execute what is certain, the AI handles what is ambiguous, and your people approve what matters.

The following video shows how AuraPlayer’s MCP connects Oracle EBS to AI.

What Is the Best Way to Start Using AI in Oracle EBS?

Start with the business process, not the technology.

This approach can also help organizations that want to adopt AI but have yet to identify the right business case. Instead of beginning with an open-ended technology experiment, they can select from a catalog of predefined Oracle EBS use cases. These might include invoice entry and reconciliation, converting customer purchase orders into sales orders, retrieving journal information, checking inventory availability or initiating a subinventory transfer.

These are not use cases invented simply to demonstrate AI. They are processes organizations already perform every day and areas where automation can deliver clear, measurable value. This creates a framework similar to the one Fusion customers receive with embedded AI: predefined use cases based on real business needs, built according to security best practices and configured for the organization’s Oracle environment.

The goal is not to give AI unlimited freedom inside Oracle EBS. It is to give AI access to the right business processes, with the right controls, for the right reasons. Organizations should not have to choose between using AI to improve productivity, efficiency and ROI and protecting the security, stability and integrity of their production systems. But achieving both requires more than connecting AI and hoping for the best.

So, where does your organization fall on the AI adoption spectrum: cautious, curious or charging ahead?

Read more about connecting AI to Oracle EBS here.