What we believe the recognition means for enterprises building AI agents on Oracle Cloud Infrastructure.
Oracle is named as a Leader in the IDC MarketScape: Worldwide Agentic AI Platforms 2026 Vendor Assessment (Doc #US54140926, October 2026). For enterprises deciding where to build and run AI agents, we believe this recognition provides another reason to consider Oracle Cloud Infrastructure (OCI). OCI Enterprise AI brings model access, agent development, orchestration, and governance together in one managed service to help teams connect agents to enterprise data and business workflows. Our focus is helping customers put agents to work with the flexibility to choose models and the controls needed for production.
Agentic AI is now about results. Leaders need to know what their agents do, how they operate, and where they create meaningful business outcomes.
Those outcomes can take many forms, like helping employees make faster decisions, improving customer experiences, accelerating complex work, or supporting measurable operating improvements. Realizing them requires more than a point solution or a capable model. It requires an enterprise foundation that connects agents to trusted data, business processes, and the controls needed to operate confidently at scale.
OCI Enterprise AI provides a composable set of capabilities for building, orchestrating, managing, and governing AI agents. It also sits within Oracle’s extended and integrated technology stack, spanning infrastructure, database, data platform, and applications. This breadth gives organizations a practical way to apply agentic AI across their enterprise while maintaining a consistent approach to security, operations, and governance.
Keep choice at the center of your AI strategy
We know the AI market is changing quickly. New models, frameworks, and protocols emerge constantly, and no executive wants to make a long-term platform decision based on a short-term technology cycle.
OCI Enterprise AI is designed to keep options open. Organizations can access leading models through a consistent service and use the model that best fits a particular task, whether the priority is reasoning quality, speed, cost, or a specialized capability. They can also host supported pretrained models, fine-tune custom models, and use or bring compatible open-weight models to OCI Enterprise AI.
Open-weight model support gives technology leaders meaningful flexibility. Teams can evaluate models against their own business requirements, apply appropriate controls, and select an approach that fits their operating and economic needs. Even when decisions evolve or the model landscape changes, OCI Enterprise AI’s unified platform helps teams adopt new models with less application rework .
OCI Enterprise AI supports Model Context Protocol (MCP) to connect agents to tools and data, and Agent2Agent (A2A) to let agents work together. As agents use these connections to carry out tasks, customers need control over how that work runs and what it can access. Enterprise AI’s hosted deployment provides a managed environment for running agent applications. OCI Enterprise AI Sandbox gives agents an isolated workspace, created on demand, to execute code and carry out tasks with configured limits on resources and network access. As each task runs, OCI Sandbox can enforce its permissions and policies, requiring approval before the agent takes actions that need authorization.
For executives, this openness translates into strategic optionality. It helps reduce lock-in, protects technology investments, and gives teams room to evolve their AI strategy as business needs change.
Connect intelligence to enterprise action
An AI agent becomes valuable when it can use trusted context and take the right action. OCI Enterprise AI helps teams connect agents to structured and unstructured enterprise data, including systems of record, vector data stores for search, and retrieval-augmented generation capabilities.
Teams can then design agentic workflows that reason over information, call approved tools and APIs, retain appropriate context, and complete multistep workflows. Built-in capabilities such as web and file search, function calling, code interpretation, and natural language to SQL help developers build agents that support real business processes.
“Peak-hour queues were our biggest pain point. By using OCI Enterprise AI to automate document checks, we reduced verification from minutes to under five seconds and can serve more customers without adding headcount.”- Arshad Javed, IT Manager, ARENCO Group
Thrifty Car Rental UAE uses OCI Enterprise AI to automate a high-volume onboarding process, reducing document-verification time to under five seconds.
OCI Enterprise AI also extends the same managed service features across Oracle’s technology portfolio. Oracle AI Database and Oracle AI Data Platform leverage its capabilities, creating a more connected path from trusted enterprise data to AI-driven action. Fusion Applications build on this foundation, where customers can customize a large set of prebuilt Fusion agents or develop agents from scratch.
This comprehensive approach helps organizations build agents around their actual operating environment rather than force important data and workflows into a separate AI platform. It gives business and technology leaders a clearer foundation for connecting AI initiatives to the outcomes that matter most to their organization.
Build for production at enterprise scale
Production workflows require more than powerful models. They require security, reliability, visibility, and control across a distributed organization.
OCI Enterprise AI builds these requirements into the service. Customers apply identity and access management, guardrails, tracing, and observability as they build and deploy agents.Dedicated AI Clusters provide reserved GPU capacity for workloads that require stable, high-throughput performance.
Its deployment breadth also supports organizations with specific sovereignty, residency, security, and operational requirements. Sovereign AI and OCI Dedicated Cloud options give customers additional paths to run AI capabilities where their data resides and in the environments that meet their business and regulatory needs.
We believe the IDC MarketScape recognition of Oracle as a Leader reflects Oracle’s enterprise-scale focus, broad technology foundation, openness in AI model selection, and deployment flexibility. OCI Enterprise AI gives organizations a unified service for building, orchestrating, deploying, and governing AI applications and agents without asking them to sacrifice model choice, openness, or enterprise-grade control.