Governing AI Agents Across the Enterprise
Oracle Integration supports consolidated governance for all your AI agents, regardless of where they're built or what they're doing.
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One governance layer for every agent
While agents will continue to evolve, the need for governance remains constant. The governance tools that Oracle Integration provides don't need to be configured per agent, team, or automation initiative. Instead, the tools provide a single, consistent governance layer for all your agentic automation across your entire organization. Even as new agents and agentic capabilities emerge across your industry, the governance layer remains consistent.
1. MCP gateway enforces authority
Use an MCP gateway to configure policies for agents. The gateway resolves identity, entitlements, and limits before any calls reach a system of record, rather than audited after an unexpected outcome occurs.
You can create custom policies for MCP servers, agents, and tools.
To learn more, see Secure and Manage MCP Servers with MCP Gateway.
2. MCP server provides access
Create an MCP server to allow AI agents to connect to tools so they can take action on the enterprise. These tools include your organization's predictable automation components, including integrations.
Why not let an AI agent call APIs directly? In short, an API is too much for an agent: too much access, too many endpoints, and too much risk. On the other hand, a tool represents the exact business capabilities that agents need. A single tool can coordinate multiple API calls, apply business rules, and enforce approvals, delivering consistent behavior regardless of the agent that invokes it. Additionally, a tool provides validation, policies, and auditing, and it remains stable even when the application behind it changes.
To learn more, see Use Integrations as Tools in an MCP Server.
3. Human in the loop oversees approval
Use human in the loop to provide oversight when a person's judgment is needed.
Because work is paused until a person makes a decision, the goal isn't to involve a person in every workflow. Instead, it's to apply the right level of accountability to each business decision before an agent acts. Keeping a human in the loop is also helpful for escalations and exception handling.
To learn more, see Learn About Human in the Loop in Using Human in the Loop in Oracle Integration 3.
4. Orchestration coordinates work
Oracle Integration brings systems, events, people, and robots together to complete governed work in its orchestration layer.
A single request from an agent triggers a coordinated series of tasks across different systems and people. For example, the work might:
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Call an API to update a system
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Process an event or file
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Use a robot to work in an application that doesn't have an API
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Ask a person to review or approve a decision
The agent determines the action to take. Critical steps, such as validations, approvals, and updates to systems of record, happen consistently every time.
See Get Started with Integrations in Using Integrations in Oracle Integration 3.
5. Retry and recovery resumes work
When systems go down unexpectedly, you can contain and recover from the failure using the retry and recovery capabilities. After the systems come back, the work resumes automatically rather than starting over. Additionally, you can track the work to a final status, so you always know which work has succeeded.
6. Audit and observability establishes accountability
Use audit and observability tools to understand what ran, who authorized it, which policies applied, and what changed.
The evidence in these tools is an asset that grows more valuable over time. By connecting decisions to outcomes, the audit and observability tools create the confidence needed to safely expand an agent’s autonomy.
See Get Started with Observability in Using Integrations in Oracle Integration 3.
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