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Oracle AI Agent Studio

Enterprise platform within Oracle Cloud for building AI agents that integrate with Oracle Fusion Applications, databases, and business processes across ERP, HCM, SCM, and CX.

Starting at$0 for eligible Oracle Fusion SaaS customers for included templates; paid Custom AI Agent examples include $50 per authorized user per month, $2.50 per employee per month, and $500 per 1 billion pooled additional tokens
Visit Oracle AI Agent Studio →
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In Plain English

Oracle's platform for building AI agents that work directly with Oracle business applications — automate enterprise workflows within Oracle's ERP, HR, supply chain, and CX ecosystem.

OverviewFeaturesPricingGetting StartedUse CasesLimitationsFAQAlternatives

Overview

Oracle AI Agent Studio is an Agent Platforms tool for Oracle Fusion Applications, Oracle Database, and Oracle Cloud Infrastructure customers that want governed enterprise AI agents tied to business processes, with included templates at $0 additional license cost for eligible Fusion SaaS customers and paid Custom AI Agent examples listed for Oracle Fusion use cases. The platform is positioned for organizations that already run important operational workflows in Oracle systems and need agents that can work near application records, enterprise identity, database content, and configured business processes rather than sitting outside the system as a generic chatbot. Its strongest fit is Oracle-centric enterprise automation across ERP, HCM, SCM, CX, and database-grounded knowledge workflows, where teams care about access control, auditability, deployment governance, and alignment with Oracle Cloud operations. Oracle materials describe low-code design-time capabilities for creating agents and agent teams, defining tools and topics, uploading documents, debugging behavior, and deploying agents into Fusion Applications, which makes the product more relevant to business application owners than a developer-only framework. Oracle Database 23ai and AI Vector Search also matter for retrieval-augmented generation scenarios because enterprises can search embeddings alongside Oracle-managed business data instead of adding a separate vector database for every use case. Pricing is partly transparent in the visible record: eligible Oracle Fusion SaaS Cloud customers may access included templates at no additional license cost, while Custom AI Agent examples include $50 per AI Agent Authorized User per month, $2.50 per AI Agent Employee per month, and $500 per 1 billion pooled additional tokens. Buyers should still confirm final commercial terms with Oracle because actual production costs can depend on licensed Fusion pillars, usage levels, token consumption, minimums, negotiated discounts, and order-form language. Compared with broad hyperscaler agent services, Oracle AI Agent Studio is less about maximizing model marketplace breadth and more about making agents useful inside Oracle business systems. That specialization is valuable for finance approvals, HR service delivery, supply chain exception handling, customer operations, policy search, and other workflows where the agent needs trusted business context and governed execution. It is less compelling for teams without Oracle Fusion Applications, Oracle Database, or OCI because much of the platform's advantage comes from native Oracle ecosystem alignment. Public Oracle content verifies the product's enterprise AI positioning, Fusion integration, agent-team concepts, Oracle database context, MCP-related custom-agent references, and 2026 page update metadata, but it does not provide exhaustive public benchmarks, detailed implementation walkthroughs, or universal model-by-model pricing. As a result, Oracle AI Agent Studio should be evaluated as a serious enterprise agent platform for existing Oracle estates, with procurement, architecture, security, and application teams involved before a production rollout.

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Key Features

Oracle Fusion Application Integration+

Oracle Fusion Applications and AI Agent Studio material describe Fusion-native integration with Oracle ERP, HCM, SCM, and CX applications, enabling agents to automate business processes across Oracle's application suite with transaction-aware workflow design.

Use Case:

An agent that helps process employee onboarding by creating records in HCM, provisioning accounts, enrolling benefits, and scheduling orientation from a single hire event.

Visual Agent Builder+

Oracle Fusion readiness material describes a low-code design-time interface for instantiating templates, creating agents and agent teams, defining tools and topics, uploading documents, debugging agents, and deploying workflows in Oracle Fusion Applications.

Use Case:

A finance team lead builds an invoice approval agent that routes approvals based on amount thresholds, department budgets, and vendor risk scores without writing code.

Native Vector Search in Oracle Database 23ai+

Oracle Database 23ai documentation describes Oracle AI Vector Search as storing and searching embeddings alongside business data, reducing the need for separate vector database infrastructure for RAG capabilities.

Use Case:

Building an agent that answers policy questions by searching across HR handbooks, compliance documents, and past support tickets stored in Oracle-managed data environments.

OCI Generative AI Service+

Oracle OCI Generative AI material describes model inference and enterprise AI workflows in Oracle Cloud environments.

Use Case:

Running AI agent inference on OCI infrastructure while keeping data access, identity, and deployment controls aligned with Oracle Cloud governance.

Pricing Plans

Included Templates for Eligible Oracle Fusion SaaS Customers

$0 additional license cost

    Custom AI Agent Authorized User

    $50 per AI Agent Authorized User per month

      Custom AI Agent Employee

      $2.50 per AI Agent Employee per month

        Pooled Additional Tokens

        $500 per 1 billion pooled additional tokens

          Enterprise Licensing

          Contact Oracle

            See Full Pricing →Free vs Paid →Is it worth it? →

            Ready to get started with Oracle AI Agent Studio?

            View Pricing Options →

            Getting Started with Oracle AI Agent Studio

            1. 1Confirm eligibility through your Oracle Fusion SaaS subscription or Oracle account team, because included templates and custom-agent entitlements depend on licensed Oracle services: 15-30 minutes
            2. 2Access AI Agent Studio from the relevant Oracle Fusion Applications environment.
            Ready to start? Try Oracle AI Agent Studio →

            Best Use Cases

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            Oracle Fusion HR service agent: Build an internal assistant that answers employee policy questions, checks Oracle HCM records, and routes onboarding, benefits, or internal mobility requests through governed workflows.

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            Finance approval automation in Oracle ERP: Create an agent that reviews invoice context, checks budget or vendor data, prepares approval recommendations, and keeps finance users inside Oracle-controlled transaction processes.

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            Supply chain exception handling: Use agents to monitor Oracle SCM data, summarize inventory or logistics exceptions, and help planners decide whether to expedite suppliers, adjust allocations, or escalate shortages.

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            Customer operations assistant for Oracle CX: Give support teams an agent that can retrieve customer account context, order history, and service information before drafting responses or recommending next actions.

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            Database-grounded knowledge assistant: Use Oracle Database 23ai and AI Vector Search to answer questions from policies, support notes, contracts, or operational records while keeping retrieval close to enterprise data.

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            Governed enterprise AI rollout: Standardize agent development on OCI when security, auditability, regional availability, and Oracle identity controls are more important than rapid experimentation with many third-party tools.

            Limitations & What It Can't Do

            We believe in transparent reviews. Here's what Oracle AI Agent Studio doesn't handle well:

            • ⚠Public Oracle material verifies high-level product positioning and Oracle ecosystem alignment, but final customer pricing may still vary by Oracle order-form terms, minimum quantities, pillar, token usage, and negotiated discounts.
            • ⚠The platform is tightly aligned with Oracle's ecosystem and is less practical for organizations that do not already run Oracle Fusion Applications, Oracle Database, or OCI.
            • ⚠The scraped page provides high-level positioning but does not include detailed public benchmarks, customer counts, integration counts, or implementation walkthroughs.
            • ⚠Model selection and tooling breadth may be less flexible than agent platforms from AWS, Microsoft, and Google that emphasize broad third-party model catalogs.
            • ⚠Enterprise deployment may require Oracle administrators, security teams, application owners, and business stakeholders, making adoption slower than lightweight no-code agent products.

            Pros & Cons

            ✓ Pros

            • ✓Oracle's website positions OCI Enterprise AI for production-ready agents across data sources with governance built in, which is a stronger enterprise message than lightweight agent builders aimed mainly at prototypes.
            • ✓Best fit for Oracle-centric enterprises because the product context connects agents to Oracle Fusion Applications across core business areas including ERP, HCM, SCM, and CX.
            • ✓Oracle Database 23ai support is a practical advantage for RAG patterns because vector search can be kept close to business data instead of forcing a separate vector database architecture.
            • ✓The Oracle page metadata shows an update date of 2026-03-23, indicating the public product page reflects Oracle's 2026 enterprise AI positioning rather than an older generative AI launch page.
            • ✓Oracle's global enterprise footprint is useful for multinational buyers that need vendor presence and localized Oracle sales or support engagement.
            • ✓Compared with many general-purpose AI tools, Oracle AI Agent Studio is unusually focused on governed enterprise agents rather than generic personal productivity bots.

            ✗ Cons

            • ✗Oracle publishes useful product and licensing context, but final cost can still depend on Oracle order-form terms, minimum quantities, pillar-specific metrics, token usage, and negotiated discounts.
            • ✗The product is most valuable for Oracle and OCI customers; organizations without Oracle Fusion Applications, Oracle Database, or OCI infrastructure may get less benefit than they would from a cloud-neutral agent platform.
            • ✗Public website content emphasizes enterprise governance and production readiness but does not provide detailed implementation examples, benchmarks, or transparent model-by-model pricing on the scraped page.
            • ✗Model choice appears narrower than hyperscaler agent platforms that aggregate large third-party model catalogs across many providers.
            • ✗Enterprise Oracle deployments can require coordination across cloud administrators, application owners, security teams, and business process owners, so setup is likely heavier than no-code agent tools.

            Frequently Asked Questions

            What is Oracle AI Agent Studio best used for?+

            Oracle AI Agent Studio is best used for building governed enterprise agents that need to work across Oracle data sources, Oracle Cloud Infrastructure, and Oracle business applications. It is most relevant for workflows in Oracle Fusion ERP, HCM, SCM, and CX where security, identity, governance, and transaction-aware business processes matter.

            Is pricing available for Oracle AI Agent Studio?+

            The visible record states that eligible Oracle Fusion SaaS Cloud customers may have access to included templates at no additional license cost. Oracle Fusion price-list material also shows paid Custom AI Agent examples, including $50 per AI Agent Authorized User per month for ERP or SCM, $2.50 per AI Agent Employee per month, and $500 per 1 billion pooled additional tokens. Final pricing should be confirmed with Oracle.

            How does Oracle AI Agent Studio compare with AWS Bedrock Agents or Google Vertex AI Agent Builder?+

            Oracle AI Agent Studio is stronger when the agent needs to operate inside Oracle's enterprise application and database ecosystem. AWS Bedrock Agents and Google Vertex AI Agent Builder are usually better fits for teams that want broader model marketplaces, multi-application development flexibility, or greenfield cloud-native agent development outside Oracle.

            Does Oracle AI Agent Studio support retrieval-augmented generation?+

            Yes. Oracle's broader agent and database documentation supports RAG patterns through Oracle Database and OCI Generative AI Agents tooling. The architectural advantage for Oracle customers is that retrieval can be kept closer to Oracle-managed business data instead of requiring a separate vector database for every workflow.

            Who should not choose Oracle AI Agent Studio?+

            Teams that do not use Oracle applications, Oracle Database, or OCI should be cautious because much of the product's value comes from integration with Oracle's enterprise stack. A startup building a general-purpose SaaS assistant may move faster with a developer-first framework or a hyperscaler agent platform.
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            What's New in 2026

            The scraped Oracle page metadata shows an updated date of 2026-03-23 and describes OCI Enterprise AI as helping developers build production-ready agents across data sources with access to leading models and governance built in. Based on the provided content, the 2026 positioning emphasizes enterprise-ready AI agents, Oracle ecosystem integration, and governed deployment.

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            Google Vertex AI Agent Builder

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            Microsoft Copilot Studio

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            Quick Info

            Category

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            Website

            www.oracle.com/artificial-intelligence/generative-ai/agents/
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