Observed Signal · Jul 15, 2026 · Product Launch · Source: https://martechseries.com/feed/ · Impact: 4/5 · Sentiment: Positive
Oracle launches AI-native builder for Fusion Agentic Apps
Oracle announced a new AI-native builder experience for Oracle AI Agent Studio for Fusion Applications that enables customers and partners to create and run Fusion Agentic Applications natively inside Oracle Fusion Cloud Applications. The unified builder supports no-code, low-code and pro-code workflows, including a new AI Studio Skill that integrates with developer tools such as Visual Studio Code, CLIs, Git, and AI coding assistants. Fusion Agentic Applications run inside Fusion, inheriting security, governance, approvals, and auditability, and can coordinate Oracle, partner, third-party and custom agents. Oracle is expanding its AI Agent Marketplace, publishing developer templates on GitHub, and says the offering is available at no additional cost. The announcement includes industry endorsements from Accenture, Constellation Research, Deloitte, IDC and PwC highlighting the potential for faster, governed enterprise AI adoption.
Major enterprise platform (Oracle) released a native AI builder and runtime that embeds governance, security, and auditability into agentic applications — this materially lowers enterprise barriers to move AI from prototype to production and affects ERP, automation and vendor ecosystems.
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Key Takeaways & Evidence Grounding
- Oracle announced a new AI-native builder experience for Oracle AI Agent Studio for Fusion Applications to create and run Fusion Agentic Applications natively inside Oracle Fusion Cloud Applications.
- Fusion Agentic Applications run inside Oracle Fusion Applications and inherit Fusion security, governance controls, approvals, and auditability.
- A new AI Studio Skill enables pro-code development using Visual Studio Code, standard CLIs, Git-based workflows, and AI coding assistants including Codex and Claude Code.
- Oracle will publish a public GitHub repository with templates, starter projects, sample applications, and reusable assets; Oracle AI Agent Marketplace is expanding its catalog.
- Oracle states there are 1,000+ AI agents delivered through Fusion Applications, 22 new Fusion Agentic Applications launched earlier this year, and over 80,000 certified experts trained in Oracle AI Agent Studio.
Connected Companies & Entities
6 Entities mapped“Oracle announced a new AI-native builder experience for Oracle AI Agent Studio for Fusion Applications that enables customers and partners t...”
““Enterprise AI is moving fast, and our clients need a trusted partner that can rapidly unlock the full value of Oracle’s embedded AI,” said ...”
““Oracle is redefining the next-generation application platform for the AI era by combining application, platform, and agentic capabilities i...”
““Enterprise clients are looking for pragmatic ways to move AI from pilots into production. The challenge is often not the technology itself,...”
““Oracle is pushing AI beyond copilots and advisors to deliver agentic systems that optimize process flows and execute work inside enterprise...”
““Organizations are eager to unlock the potential of agentic AI in their business applications,” said Kevin Sullivan, Oracle global alliance ...”
Ontology Mapping & Concepts
Related Market Signals & Shifts
Recent verified developments and strategic activity across this market segment.
Oracle Launches Fusion Agentic Applications for CX
Oracle announced Fusion Agentic Applications for Customer Experience (CX), a set of AI-driven, outcome-focused enterprise applications built into Oracle Fusion Cloud Applications. The agentic applications run on Oracle Cloud Infrastructure, leverage industry-leading large language models, and operate inside Oracle’s Fusion security framework to autonomously execute and progress sales, service, and marketing workflows while surfacing exceptions for human judgment. Five new workspaces — Contract Compliance, Cross-Sell Program, Marketing Command Center, Sales Command Center, and Service Manager — are available within Oracle Fusion Cloud CX. The initiative is supported by Oracle AI Agent Studio, which includes an Agentic Applications Builder, observability, ROI measurement, and safety controls for enterprise deployment.
Oracle Unveils AI Agents to Boost Marketing and Sales
Oracle announced additional role-based AI agents for revenue teams that are embedded within Oracle Fusion Cloud Applications to support marketing, sales and customer service processes. The new prebuilt agents are natively integrated into Oracle Fusion Applications and offered at no additional cost. Oracle also introduced AI Agent Studio for building, testing and deploying AI agents and agent teams across the enterprise. Oracle positions the agents to surface insights from unified, cross‑functional data (exposing data silos such as procurement, service records and order management) and to automate operational tasks while providing predictive guidance. Rob Pinkerton, SVP at Oracle, urged customers to adopt a phased approach to AI. The release includes multiple marketing, sales and service-specific agents (e.g., Program Planning Agent, Copywriting Agent, Quote Generation Agent, Work Order Scheduling Agent).
Celigo Launches Ora and Agent Builder for Enterprise Automation
Celigo announced Celigo Ora, a natural-language interface, and Agent Builder, a low-code environment, to extend enterprise iPaaS capabilities and scale automation across business systems. Ora uses a network of specialized AI agents with context about systems, workflows and data to let non-specialists design, build, modify and troubleshoot integrations via plain language, while actions are previewed, governed and auditable. Agent Builder pairs with Celigo’s Model Context Protocol (MCP) server—a standard Celigo describes for secure, real-time AI connectivity to enterprise systems—so teams can run automations from rules-based logic to adaptive AI agents. Celigo highlighted governance features (human-in-the-loop approvals, runtime guardrails, auditability) and cited MIT Technology Review Insights research linking successful AI production workflows to unified integration platforms. Celigo positioned the releases as addressing operational bottlenecks that prevent enterprises from moving AI from pilot to production.
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