Oracle Expands AI Agent Studio for Fusion Applications with New Marketplace, LLMs, and Vast Partner Network
Oracle (NYSE:ORCL) on October 15, 2025 expanded Oracle AI Agent Studio for Fusion Applications with a native AI Agent Marketplace, expanded LLM support, and a large certified-expert network.
Key updates include native partner-built agent templates embedded in Fusion workflows, support for OpenAI, Anthropic, Cohere, Google, Meta, and xAI, Model Context Protocol (MCP) integration, observability and token-usage metrics, multimodal RAG, deterministic workflow chaining, and a credential store for secure API access. Oracle says > 32,000 certified experts are trained to build and deploy agents, aiming to accelerate enterprise AI adoption and simplify agent lifecycle management.
Oracle (NYSE:ORCL) il 15 ottobre 2025 ha ampliato Oracle AI Agent Studio per Fusion Applications con un AI Agent Marketplace nativo, ampliato il supporto LLM e una vasta rete di esperti certificati.
Gli aggiornamenti chiave includono modelli di agenti costruiti dai partner nativi integrati nei flussi di lavoro di Fusion, supporto per OpenAI, Anthropic, Cohere, Google, Meta e xAI, integrazione del Model Context Protocol (MCP), osservabilità e metrica sull’uso dei token, RAG multimodale, incatenamento di workflow deterministico e un archivio di credenziali per l’accesso sicuro alle API. Oracle afferma che oltre 32.000 esperti certificati sono formati per costruire e distribuire agenti, con l’obiettivo di accelerare l’adozione dell’IA aziendale e semplificare la gestione del ciclo di vita degli agenti.
Oracle (NYSE:ORCL) el 15 de octubre de 2025 amplió Oracle AI Agent Studio para Fusion Applications con un Mercado de Agentes de IA nativo, amplió el soporte de LLM y una gran red de expertos certificados.
Las actualizaciones clave incluyen plantillas de agentes nativas creadas por socios integradas en flujos de trabajo de Fusion, soporte para OpenAI, Anthropic, Cohere, Google, Meta y xAI, integración del Model Context Protocol (MCP), observabilidad y métricas de uso de tokens, RAG multimodal, encadenamiento de flujos de trabajo determinista y una tienda de credenciales para acceso seguro a las API. Oracle dice que > 32,000 expertos certificados están capacitados para construir y desplegar agentes, con el objetivo de acelerar la adopción de IA en la empresa y simplificar la gestión del ciclo de vida de los agentes.
Oracle (NYSE:ORCL)는 2025년 10월 15일에 Fusion Applications용 Oracle AI Agent Studio를 네이티브한 AI Agent Marketplace와 함께 확장하고 LLM 지원을 확대하며 많은 수의 인증 전문가 네트워크를 구축했습니다.
주요 업데이트로는 Fusion 워크플로에 내장된 파트너가 구축한 에이전트 템플릿, OpenAI, Anthropic, Cohere, Google, Meta 및 xAI 지원, Model Context Protocol(MCP) 통합, 관측성 및 토큰 사용 메트릭, 다중 모달 RAG, 결정론적 워크플로 체이닝, 안전한 API 접근을 위한 자격 증명 저장소가 포함됩니다. Oracle은 32,000명 이상의 인증 전문가가 에이전트를 구축하고 배포하도록 훈련받았다고 밝히며, 기업용 AI 채택을 가속하고 에이전트 수명 주기 관리를 단순화하는 것을 목표로 합니다.
Oracle (NYSE:ORCL) a étendu le 15 octobre 2025 Oracle AI Agent Studio pour Fusion Applications avec une place de marché d'agents IA native, un soutien LLM élargi et un grand réseau d'experts certifiés.
Les mises à jour clés incluent des modèles d'agents créés par des partenaires natifs intégrés dans les flux de travail Fusion, le support pour OpenAI, Anthropic, Cohere, Google, Meta et xAI, l'intégration du Modèle Context Protocol (MCP), l'observabilité et les métriques d'utilisation des tokens, le RAG multimodal, l'enchaînement de workflows déterministe et un magasin d'identifiants pour un accès API sécurisé. Oracle indique que plus de 32 000 experts certifiés sont formés pour concevoir et déployer des agents, dans le but d'accélérer l'adoption de l'IA en entreprise et de simplifier la gestion du cycle de vie des agents.
Oracle (NYSE:ORCL) hat am 15. Oktober 2025 Oracle AI Agent Studio für Fusion Applications mit einem nativen AI Agent Marketplace, erweitertem LLM-Support und einem großen Netzwerk zertifizierter Experten erweitert.
Zu den wichtigsten Aktualisierungen gehören native, von Partnern erstellte Agenten-Vorlagen, eingebettet in Fusion-Workflows, Unterstützung für OpenAI, Anthropic, Cohere, Google, Meta und xAI, Integration des Model Context Protocol (MCP), Observability und Token-Nutzungsmetriken, multimodales RAG, deterministische Workflow-Verkettung und ein Credential Store für sicheren API-Zugang. Oracle sagt, dass > 32.000 zertifizierte Experten geschult sind, um Agenten zu erstellen und bereitzustellen, mit dem Ziel, die Einführung von KI im Unternehmen zu beschleunigen und das Lebenszyklus-Management von Agenten zu vereinfachen.
أوراكل (بورصة نيويورك: ORCL) في 15 أكتوبر 2025 وسّعت Oracle AI Agent Studio لتطبيقات Fusion مع سوق وكلاء AI المدمج، ودعم LLM موسع، وشبكة كبيرة من الخبراء المعتمدين.
تشمل التحديثات الرئيسية قوالب وكلاء بنائية من الشركاء مدمجة في سير عمل Fusion، ودعم لـ OpenAI وAnthropic وCohere وGoogle وMeta وxAI، وتكامل بروتوكول سياق النماذج (MCP)، ورصد الأداء وقياسات استخدام الرموز، وRAG متعدد الوسائط، وربط سير العمل بشكل حتمي، ومتجر ائتمانات للوصول الآمن إلى واجهات البرمجة. تقول أوراكل إن أكثر من 32,000 خبير معتمد مُدرَّبون لبناء وتوزيع الوكلاء، بهدف تسريع تبني الذكاء الاصطناعي في الشركات وتبسيط إدارة دورة حياة الوكلاء.
Oracle (NYSE:ORCL) 于 2025年10月15日 为 Fusion 应用扩展了 Oracle AI Agent Studio,新增原生 AI Agent Marketplace、扩展的大语言模型(LLM)支持,以及庞大的认证专家网络。
主要更新包括原生合作伙伴构建的代理模板嵌入到 Fusion 工作流中,支持 OpenAI、Anthropic、Cohere、Google、Meta 与 xAI,Model Context Protocol(MCP)集成,可观测性及令牌使用指标,多模态 RAG,确定性工作流链接,以及用于安全 API 访问的凭证存储。Oracle 表示,超过 32,000 名认证专家 已接受培训,可构建并部署代理,旨在提升企业对 AI 的采用速度并简化代理生命周期管理。
- Native AI Agent Marketplace embedded in Fusion Applications
- Support for OpenAI, Anthropic, Cohere, Google, Meta, and xAI LLMs
- 32,000+ certified experts trained in Oracle AI Agent Studio
- Token usage metrics and monitoring dashboard improve cost and performance visibility
- None.
Insights
Oracle expands Fusion Applications with a native AI Agent Marketplace, broader LLM support, and a large certified expert network—positive for enterprise AI adoption.
Oracle embeds an AI Agent Marketplace into Fusion Applications, plus native support for multiple LLM providers and agent lifecycle tools. This directly shortens deployment paths by letting customers install validated partner-built agents inside familiar workflows and manage prompts, credentials, and observability from one studio.
Key dependencies and risks include the quality and security of partner-built agents, the accuracy of observability/evaluation metrics, and customers’ choice among supported LLMs. The announcement lists controls (credential store, monitoring, agent tracing) that address these risks but do not eliminate integration or governance work for adopters.
Watch for partner template availability, certified-expert contributions, and measured agent performance in production over the next 6–12 months; these milestones will show whether the marketplace materially speeds enterprise AI adoption.
New AI Agent Marketplace delivers partner-built AI agents directly within Oracle Fusion Cloud Applications to streamline operations and unlock new levels of efficiency
Support for OpenAI, Anthropic, Cohere, Google, Meta, and xAI in Oracle AI Agent Studio for Fusion Applications will enhance flexibility and improve AI adoption
More than 32,000 certified experts trained in Oracle AI Agent Studio will help customers optimize AI
"Organizations are grappling with rising business complexity and the urgent need to accelerate AI adoption," said Chris Leone, executive vice president of Applications Development, Oracle. "By building a comprehensive AI ecosystem centered around Oracle Fusion Applications, we're giving customers the flexibility to address complex challenges swiftly, securely, and confidently. The AI Agent Marketplace and other enhancements to the AI Agent Studio enable our customers to supplement the embedded AI agents in Fusion Applications with validated, industry-specific capabilities from our growing AI ecosystem of systems integrators and independent software vendors."
New AI Agent Marketplace Taps Partner Expertise to Accelerate Enterprise AI Adoption
The new Oracle Fusion Applications AI Agent Marketplace enables customers to easily deploy Oracle-validated, partner-built AI agents within Oracle Fusion Applications. Marketplace seeded partner templates are embedded in Oracle AI Agent Studio to help customers accelerate automation, boost productivity, and address complex, industry-specific business challenges.
Unlike other AI agent marketplaces, Oracle AI Agent Marketplace is embedded natively within Oracle Fusion Applications, allowing customers to access, test, and deploy third-party AI agents directly within existing workflows. Customers can install and manage validated agent templates, created by certified Oracle PartnerNetwork members, alongside Oracle pre-built agents in a unified experience. To learn more, please visit Oracle AI Agent Marketplace.
New LLMs and Enhancements Support Multi-Step Agentic Workflows in AI Agent Studio
Oracle AI Agent Studio enables customers and partners to select the best-performing LLM for their business needs, with support for OpenAI, Anthropic, Cohere, Google, Meta, and xAI. Additional updates to Oracle AI Agent Studio include new:
Integration & Extensibility Capabilities
- MCP support : Enables users to extend agent capabilities with third-party data and tools through seamless integration with external systems via the Model Context Protocol (MCP), an AI industry standard.
- A2A agent cards: Enables cross-agent collaboration with third-party agents by allowing agents to communicate and pass context between each other via standardized connectors.
- Credential store: Controls to help ensure that AI agents can safely access external services, such as APIs, without exposing sensitive data by enabling users to securely manage API keys and authentication tokens within the Oracle AI Agent Studio.
Observability and Evaluation Capabilities
- Monitoring dashboard: Helps users detect and address AI agent issues quickly by providing real-time visibility into agent performance, such as data around sessions, latency, error rates, and token usage.
- Agent performance evaluation: Improves AI agent effectiveness by providing systematic testing and measurement of how well agents perform in quality, correctness, and safety metrics compared to set goals.
- Agent tracing: Helps users debug AI agents and optimize performance by capturing detailed execution data around agent workflows.
- Performance metrics: Help users improve agent effectiveness and track efficiency over time by monitoring key indicators like correctness, latency, API errors, and token consumption.
- Token usage: Makes costs more predictable for customers by measuring token consumption for premium LLMs.
Prompt Management Capabilities
- Prompt libraries and lifecycle management: Help users manage agents across different parts of the lifecycle – from authoring and testing to version maintenance – by storing all prompts and agentic use cases in a central store.
- Topics management: Helps improve agent consistency by storing all topics being used across AI agents in a central store, increasing visibility into which capabilities are available to specific agents and providing the same prompt boundaries for agents operating in similar domains.
AI Agents Capabilities
- Expanded Agent templates: Help users quickly configure and deploy AI agents by delivering predefined blueprints for common agent use cases within the Oracle AI Agent Studio.
- Agent builder assistant: Enables AI agents in the Oracle AI Agent Studio to create an agent from scratch, defining topics, prompts, and tools based on high level direction from a user.
- AI Agent Studio FAQ agent: Provides additional support for agent builders with a Q&A assistant agent that answers questions using natural language about tasks or projects they are working on within Oracle AI Agent Studio, such as configuring agent templates, building agents from scratch, publishing agents into production, or evaluating agent performance.
Multimodal and Retrieval-Augmented Generation (RAG) Capabilities
- Multimodal RAG: Improves agent Q&A performance by using RAG to incorporate more than just text – documents, images, tables, etc. – in the agent's analysis.
- RAG over external sources: Enhances agent performance by using RAG over documents stored in external content repositories such as SharePoint.
Workflow Agents and Nodes Capabilities
- Deterministic execution: Enables consistent and predictable results for business-critical processes by allowing users to set prescriptive agentic workflows with pre-defined outcomes for specific types of AI agents.
- Chaining workflows: Help improve the outcome of deterministic agent execution for multi-steps tasks by connecting multiple workflows together.
- Agent node: Enables users to complete more complex processes with their agent by adding additional agents to a workflow when a more dynamic action is required, such as making decisions or interpreting context.
- Human-in-the-loop: Helps users balance automation with oversight and control by incorporating human review and approvals into workflows.
Trusted Network of Certified Experts
Over 32,000 certified experts have completed rigorous training on how to build the most effective agents within Oracle AI Agent Studio, enabling customers to leverage the highest performing agents and optimize AI across their workflows.
This network of experts will further expand the breadth of Oracle AI Agent Marketplace by adding new expert-built agents and agent templates to help customers maximize their AI potential. This growing AI ecosystem of experts ensures customers have access to validated, secure, and trusted AI agents ready to transform business processes.
Analyst Support
"In the current enterprise AI-arms race, Oracle has proven itself to be a steadfast competitor. With the launch of AI Agent Marketplace, Oracle is raising the bar once again," said Mickey North Rizza, Group Vice-President Enterprise Software, IDC. "With the new marketplace offering an ever-expanding range of partner-built AI agents natively supported in Fusion Applications, Oracle customers will be uniquely able to accelerate AI adoption. This continued innovation underscores Oracle's commitment to delivering tangible value and productivity gains to its customers in today's fiercely competitive AI landscape."
"Enterprise application suites that embed AI capabilities and offer flexible agent development environments are taking a clear lead in the market," said Holger Mueller, vice president and principal analyst at Constellation Research. "Expanding these ecosystems with accessible marketplaces for partner-built AI agents represents a natural evolution, making it easier for enterprises to adopt and scale AI-driven automation."
About Oracle Fusion Cloud Applications
Oracle Fusion Cloud Applications provide an integrated suite of AI-powered cloud applications that enable organizations to execute faster, make smarter decisions, and lower costs. Oracle Fusion Applications include:
- Oracle Fusion Cloud Enterprise Resource Planning (ERP): Provides a comprehensive suite of AI-powered finance and operations applications that help organizations increase productivity, reduce costs, expand insights, improve decision-making, and enhance controls.
- Oracle Fusion Cloud Human Capital Management (HCM): Provides a unified AI-powered HR platform that connects all people-related processes and data to help organizations automate tasks throughout the employee lifecycle, improve the employee experience, and give HR leaders actionable workforce insights.
- Oracle Fusion Cloud Supply Chain & Manufacturing (SCM): Provides a unified AI-powered platform that integrates supply chain and operations processes and helps organizations enhance resilience and quickly adapt to market changes.
- Oracle Fusion Cloud Customer Experience (CX): Provides a suite of AI-powered applications that helps organizations manage marketing, sales, and service processes to win business, build stronger customer relationships, and improve customer experiences.
About Oracle
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Future Product Disclaimer
The preceding is intended to outline our general product direction. It is for informational purposes only and may not be incorporated into any contract. The development, release, timing, and pricing of any features or functionality described for Oracle's products may change at Oracle Corporation's sole discretion.
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