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OCI Enterprise AI

Oracle Cloud Infrastructure (OCI) Enterprise AI helps developers build and deploy production-ready agents across data sources. Build agentic workflows with open standards and open source frameworks, plus managed access to leading models with zero data retention endpoints. The service offers sovereign AI options for data hosting and processing and delivers consistent governance so your team can deploy securely and confidently at enterprise scale.

Join the upcoming webinar—Build, deploy, govern: Accelerate AI agents with OCI Enterprise AI

Why use OCI Enterprise AI?

  • Powerful, production-ready agents

    Add action to your AI: Build with powerful capabilities, tools, and widely adopted standards and frameworks to avoid lock-in and adapt as models and tooling evolve.

  • Leading-edge AI models

    Add intelligence to your AI: Access leading models and run them through a managed service that can choose the best model for a request and help manage consumption.

  • Secure, observable, and trusted AI

    Add trust to your AI: Guardrails, dedicated AI clusters, access control, and visibility tools support secure and reliable agent deployment.

How OCI Enterprise AI works

OCI Enterprise AI works in four steps for developers building AI solutions. First, teams choose the foundation model or models that best fit their use case and performance needs. Next, they connect the agent to enterprise data and knowledge sources to ground responses, including structured systems and vector search–based retrieval for unstructured content. Then developers define the agent workflow: what tools and APIs the agent can call and how it orchestrates multistep actions and conversation context to complete tasks. Finally, developers deploy and operate the agent in production with built-in controls, including identity and access management–based access control, guardrails, observability, and auditability for secure, reliable enterprise use.

AI Accelerator Packs
Diagram illustrating four steps for building an OCI Enterprise AI solution: choose the best-fit foundation model, connect the agent to enterprise data and knowledge sources (including vector-search retrieval for unstructured content), define the agent workflow and tool/API calls, then deploy and operate in production. Built-in controls are highlighted, including IAM-based access control, guardrails, observability, and auditability for secure, reliable use.
March 24, 2026

Announcing GA of OCI Enterprise AI: A Simplified Approach to Build, Deploy, and Govern Production AI Faster

Michelle Meng

Oracle is announcing the general availability (GA) of Oracle Cloud Infrastructure (OCI) Enterprise AI, an end-to-end developer offering that brings together the capabilities needed to build, manage, and deploy AI workloads—helping teams move from experimentation to production with greater speed and confidence, regardless of structured or unstructured data sources.

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Use cases for OCI Enterprise AI

Financial analysis

Build governed workflows that pull from approved market feeds and internal finance systems. Ground outputs with retrieval (RAG/vector search) and ship with observability, evaluations, and audit logs.

Business operations

Orchestrate multistep, multiagent automation across CRM, inventory, ERP, shipping, and billing. Integrate via APIs and standards (MCP, for example) and track every action with end-to-end traceability.

HR automation

Automate recruiting workflows: generate role and competency frameworks, screen candidates, and schedule interviews. Integrate an applicant tracking system, Oracle Fusion Cloud HCM, and calendar and communication APIs with policy controls and audit trails.

DevOps incident response and management

Automate detection, triage, and remediation with runbooks, diagnostics, and safe deployment patterns (canary deployments and rollback). Operate via command-line interfaces and APIs with managed monitoring and auditable change history.

Healthcare compliance: risk management

Connect to electronic health records and operations data to detect anomalies and trigger risk workflows. Enforce IAM, retention, and immutable audit logs for audit-ready reporting.

Clinical assistants

Implement patient-facing assistants for Q&A, scheduling, reminders, and intake. Ground responses with retrieval and enforce IAM, protected health information controls, logging, and human-in-the-loop escalation.

Additional OCI Enterprise AI resources

Get started with OCI Enterprise AI

Try Oracle AI and get a 30-day trial

Oracle offers a free pricing tier for most AI services as well as a free trial account with US$300 in credits to try additional cloud services. Get the details and sign up for your free account.

  • Which Oracle AI and ML services offer a free pricing tier?

    • OCI Speech
    • OCI Language
    • OCI Vision
    • OCI Document Understanding
    • Machine Learning in Oracle AI Database
    • OCI Data Labeling

    You also only have to pay compute and storage charges for OCI Data Science.

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The best way to learn something is to try it yourself. Use our tutorials and hands-on labs with your own Oracle Cloud tenancy, at no charge for many services.

See how to apply AI today

Enter a new era of productivity with generative AI solutions for your business. Learn how Oracle helps customers leverage AI embedded across the full technology stack.

  • What can you achieve with Oracle AI?

    • Fine-tune LLMs in OCI
    • Automate invoice processing
    • Build a chatbot with RAG
    • Summarize web content with generative AI
    • And so much more!

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