Agent profile · Automation
Oracle AI Agent Studio
Oracle AI Agent Studio is classified by AgentenCode as an enterprise agent builder from Oracle. It belongs to the Automation category. This English profile does not maintain a separate factual record: it renders the same underlying evidence, trust and history data as the German profile.
AgentenTrust 2.0 · EU & governance evidence
Trust, privacy and control evidence for Oracle AI Agent Studio
Direct answer: AgentenCode currently documents 6 of 36 normalized trust controls for this profile. Missing fields remain Unknown and are never automatically interpreted as “no”.
Important: these numbers show evidence coverage, not a product rating. 0 of 10 means that no field-level public evidence is stored for those ten controls in the current dataset. It does not mean the product lacks those capabilities.
Field-level evidence
Documented controls and values from primary sources.
API · Async
External applications can invoke agent teams asynchronously.
Scope: external_agent_invocation · verified 2026-10-01 · Primary source ↗API · Auth · Oauth
OAuth 2.0 bearer-token authentication is documented for external agent invocation.
Scope: external_agent_invocation · verified 2026-10-01 · Primary source ↗API · Rest
External applications can invoke Fusion AI agent teams through documented REST endpoints.
Scope: external_agent_invocation · verified 2026-10-01 · Primary source ↗Composition · Tool
AI Agent Studio exposes Document as an explicit tool type that can be assigned to agents.
Scope: oracle_ai_agent_studio · verified 2026-10-03 · Primary source ↗Deployment · Import Export
Cross-instance import/export is documented.
Scope: agent_teams_between_instances · verified 2026-10-01 · Primary source ↗Governance · Approval · Pre Action
Document Tool can require a person to review and approve an action before the tool runs.
Scope: document_tool_actions · verified 2026-10-03 · Primary source ↗Governance · Custom roles
Custom roles are supported.
Scope: fusion_security_console · verified 2026-10-01 · Primary source ↗Governance · Human approval
Human approval steps can be added for oversight of agent actions.
Scope: agent_actions_and_workflows · verified 2026-10-01 · Primary source ↗Governance · Monitoring Access Control
Monitoring records are access-controlled.
Scope: monitoring_and_evaluation · verified 2026-10-01 · Primary source ↗Governance · Observability
AI Agent Studio includes run-level monitoring and metrics.
Scope: monitoring_and_evaluation · verified 2026-10-01 · Primary source ↗Governance · RBAC
Role-based access is documented.
Scope: fusion_roles · verified 2026-10-01 · Primary source ↗Governance · Tracing
Detailed per-session tracing is documented.
Scope: monitoring_and_evaluation · verified 2026-10-01 · Primary source ↗Hosting · Managed
AI Agent Studio runs as a native capability of Oracle Fusion Cloud Applications on the Oracle AI Platform for Fusion Applications.
Scope: oracle_fusion_ai_platform_for_ai_agent_studio · verified 2026-10-01 · Primary source ↗Operations · Max Files Per Conversation
Oracle documents a maximum of five files uploaded per chat conversation.
Scope: chat_file_upload · verified 2026-10-03 · Primary source ↗Operations · Max Interactions Configurable
Agent Settings expose a Maximum Interactions field controlling how many times an agent can interact with assigned topics and tools.
Scope: agent_configuration · verified 2026-10-03 · Primary source ↗Operations · Max Upload Mb Per Conversation
Oracle documents a combined 50 MB upload limit across files in one chat conversation.
Scope: chat_file_upload · verified 2026-10-03 · Primary source ↗Privacy · Data residency · Available
The Fusion AI platform instance is region-local. This claim does not assert that generative-model processing always remains in the local OCI region.
Scope: fusion_ai_platform_instance_local_oci_region_at_rest · verified 2026-10-01 · Primary source ↗Protocols · A2A · Client
Fusion Applications agents can call external A2A agents.
Scope: fusion_ai_agent_studio_26c · verified 2026-10-01 · Primary source ↗Evidence-backed overview
What is Oracle AI Agent Studio?
Oracle AI Agent Studio is classified by AgentenCode as an enterprise agent builder from Oracle. It belongs to the Automation category. This English profile does not maintain a separate factual record: it renders the same underlying evidence, trust and history data as the German profile.
Product-specific evidence for Oracle AI Agent Studio
This profile links 14 unique primary sources across the product profile, field-level evidence, trust controls and documented relations. The points below describe this product’s stored evidence rather than generic characteristics of Automatisierung.
Data Residency
Yes · Scope: fusion_ai_platform_instance_local_oci_region_at_rest · verified 2026-10-01.
Primary source ↗Verschlüsselung at rest
Oracle Transparent Data Encryption (TDE) · Scope: oracle_fusion_applications_data_layer_used_by_ai_agent_studio · verified 2026-10-01.
Primary source ↗governance · monitoring_access_control
Yes · Scope: monitoring_and_evaluation · verified 2026-10-01.
Primary source ↗AgentenCode treats this page as a reference profile rather than a ranking. Product facts are separated from editorial classification, and the profile is tied to a specific verification date. If a capability is not backed by sufficiently precise public evidence, it remains unknown instead of being inferred from marketing language or from similar products.
How to read the evidence
The field-level evidence layer records a value, a scope, a confidence level, a verification date and one or more primary sources. Scope matters: an enterprise-only security feature must not be generalized to every plan or deployment surface. The same rule applies to hosting, privacy, audit and protocol claims.
AgentenCode also keeps Unknown distinct from false. A missing claim means the public dataset does not currently contain sufficiently precise evidence for that field. A negative value is used only when a reliable primary source explicitly documents a restriction or non-availability.
Decision context
Provider and category
Oracle AI Agent Studio is documented under Automation and is associated with Oracle. Category labels help navigation but do not replace product-specific evidence.
Verification status
The public profile is marked editorially reviewed and was last checked on October 1, 2026.
Trust coverage
6 of 36 normalized trust controls currently have field-level public evidence. The remaining controls are not treated as negative findings.
Source-first use
For procurement, security or legal decisions, use the linked primary sources and verify the plan, region and configuration that apply to your organization.
Capabilities, strengths and deployment checks for Oracle AI Agent Studio
Oracle AI Agent Studio is classified as Enterprise Agent Builder from Oracle. The profile’s editorial layer is derived from the stored use cases, strengths and checks below; claims about security, privacy or governance remain separate and require field-level evidence.
ERP-Prozesse
This use case is part of the stored profile for Oracle AI Agent Studio. The related strength is “Tiefe Oracle-Fusion-Integration”. In a production evaluation, the practical boundary to verify is: Fusion-Berechtigungen prüfen.
HR
This use case is part of the stored profile for Oracle AI Agent Studio. The related strength is “Business-Kontext”. In a production evaluation, the practical boundary to verify is: kritische Finanz- oder HR-Aktionen mit Human-in-the-loop absichern.
Finance
This use case is part of the stored profile for Oracle AI Agent Studio. The related strength is “Multi-Agent- und Tool-Funktionen”. In a production evaluation, the practical boundary to verify is: MCP/A2A-Verbindungen kontrollieren.
Supply Chain
This use case is part of the stored profile for Oracle AI Agent Studio. The related strength is “Governance im Enterprise-Umfeld”. In a production evaluation, the practical boundary to verify is: Fusion-Berechtigungen prüfen.
What to verify before adoption
- Fusion-Berechtigungen prüfen. Treat undocumented controls as Unknown and verify the exact plan, region and deployment scope.
- kritische Finanz- oder HR-Aktionen mit Human-in-the-loop absichern. Treat undocumented controls as Unknown and verify the exact plan, region and deployment scope.
- MCP/A2A-Verbindungen kontrollieren. Treat undocumented controls as Unknown and verify the exact plan, region and deployment scope.
Verified history
The public history layer records only confirmed profile changes and verification events. Monitoring signals are not published as product facts until they have been reviewed.
- October 1, 2026 · Source Maintenance
- September 30, 2026 · Verification Update
- September 28, 2026 · Schema Upgrade
Official sources
This profile links 14 unique primary sources across the product profile, field-level evidence, trust layer and documented relations. Provider documentation remains authoritative when the product changes between verification cycles.
- Oracle Docs – AI Agent Studio overview
- Oracle Fusion AI – Enable applications to access Fusion Applications agents
- Oracle AI Agent Studio – Add Document Tool
- Oracle Docs – Migrate AI Agents between instances
- Oracle Docs – Access Requirements for AI Agent Studio
- Oracle Docs – Get Started with AI Agent Studio
- Oracle Docs – Monitor Agents
- Oracle Docs – Oracle AI Platform for Fusion Applications
- Oracle Docs – AI Agent Studio adoption principles
- Oracle AI Agent Studio – File types and limits
- Oracle AI Agent Studio – Create and Configure AI Agents
- Oracle Docs – Collaborate across platforms using A2A
- Oracle Docs – Add MCP Tool
- Oracle Docs – Advanced Data Security
Frequently asked questions
What is Oracle AI Agent Studio?
Oracle AI Agent Studio is listed by AgentenCode as an automation agent or agentic product from Oracle.
How much trust evidence is documented for Oracle AI Agent Studio?
The current trust layer documents 6 of 36 normalized controls. Missing controls remain unknown rather than being treated as false.
When was this profile last checked?
The current profile verification date is October 1, 2026. The linked primary sources remain authoritative if the product changes between checks.
