Oracle has launched Fusion Agentic Applications, embedding agentic AI natively into its Fusion CX and ERP platforms [1]. This move is Oracle’s boldest bid yet to challenge Microsoft and Salesforce in the race to turn AI hype into measurable business outcomes.
According to Futurum Group’s 1H 2026 Enterprise Software Decision Maker Survey (n=830), 38.8% of buyers now expect GenAI to be delivered primarily via agents, and 45.7% rank GenAI capabilities as their top software selection criterion.
What is Covered in this Article
- Oracle’s Fusion Agentic Applications launch and its implications for platform AI competition
- The enterprise buyer’s shift to agentic AI and outcome-based ROI expectations
- Oracle’s full-stack integration advantage across SaaS, PaaS, and IaaS
- Oracle’s ambition to become the agentic control plane for Oracle, third-party, and DIY agents
- Competitive positioning versus Microsoft, Salesforce, and ServiceNow
The News: Oracle has announced a major update to its Fusion Applications suite, introducing agentic AI capabilities that allow software agents to plan, act, and adapt across customer experience (CX), supply chain, and ERP workflows [1]. These Fusion Agentic Applications aim to automate complex multi-step business processes, promising not just copilots but orchestrated agent swarms.
Oracle is pitching these features as natively embedded, rather than bolt-on add-ons, and claims tight integration with its cloud infrastructure and data management stack. The launch comes as enterprise buyers are rapidly shifting away from best-of-breed toward platform-first strategies for GenAI, with 65.9% now following a platform-first approach (with point solutions to fill functional gaps), according to Futurum Group’s 1H 2026 Enterprise Software Decision Maker Survey (n=830).
Oracle’s Fusion Agentic Apps: Can Platform-First AI Finally Deliver Enterprise ROI?
Analyst Take: Oracle’s Fusion Agentic Applications are a direct response to the new market reality: enterprise buyers want AI that delivers measurable impact, not just efficiency theater.
The platform war is no longer about features, but about who can embed agentic AI deeply enough to drive real business outcomes and justify premium pricing.
Will Embedded Agentic AI End the Best-of-Breed Era?
The Fusion Agentic Applications launch is Oracle’s clearest signal yet that the era of fragmented AI pilots is over. According to Futurum Group’s 1H 2026 Enterprise Software Decision Maker Survey (n=830), 65.9% of organizations now follow a platform-first approach, and 73.7% are considering or planning to switch core vendors between 2025 and 2028. Oracle’s bet is that only deeply embedded, workflow-native agents can deliver the domain context and compliance controls that enterprises demand.
The risk: buyers could find themselves locked into proprietary orchestration frameworks before interoperability standards mature. Microsoft and Salesforce are taking similar approaches, but Oracle’s full-stack control may appeal to heavily regulated industries where single-vendor accountability trumps flexibility.
Oracle’s Full-Stack Integration: The Platform Advantage
Where Oracle may hold a distinct edge over competitors is in the depth and breadth of its full-stack integration spanning SaaS, PaaS, and IaaS. Unlike vendors that bolt AI onto a single application layer, Oracle can leverage its Fusion Applications, Oracle Cloud Infrastructure (OCI), and its Autonomous Database to provide agentic AI with native access to transactional data, analytics, and infrastructure controls in a single, tightly coupled environment.
This matters because agentic AI is only as effective as the data and context it can access. Agents that orchestrate across CX, supply chain, and ERP workflows need real-time, secure access to unified business data—not fragmented, siloed feeds stitched together via middleware. Oracle’s architecture is designed to collapse these silos, giving its agents a richer operational context than competitors who must rely on third-party integrations or multi-vendor data pipelines.
Futurum’s research on the Oracle Cloud Marketplace reinforces this trajectory: Oracle is successfully decoupling its high-value software from proprietary hardware constraints and pivoting toward a curated, high-governance model that prioritizes architectural integrity and agentic AI over sheer application volume. The October 2025 launch of the Oracle Fusion Applications AI Agent Marketplace, which features more than 100 validated, partner-built AI agents from firms such as Accenture and Deloitte, signals Oracle’s intent to build a controlled yet extensible ecosystem on top of its integrated stack.
For CIOs evaluating agentic platforms, Oracle’s full-stack play is compelling in theory: fewer integration points, faster time to value, and a single point of accountability. According to Futurum Group’s 1H 2026 Enterprise Software Decision Maker Survey (n=830), 55.2% of buyers say that better integration would make them more confident in allocating additional budget to enterprise applications. Oracle is well-positioned to capitalize on this sentiment—provided it can demonstrate that full-stack control does not come at the cost of flexibility and openness.
The Agentic Control Plane: Managing Oracle, Third-Party, and DIY Agents
Agentic AI is moving from isolated assistants to orchestrated, multi-step systems that act autonomously inside enterprise workflows. Yet, as detailed in Futurum’s ‘Who Will Win the Agent Orchestration Layer Battle?’ (April 2026), the agent orchestration layer is now the most consequential strategic battleground in enterprise software. The vendor that controls this layer controls the economic gravity of the enterprise stack.
Oracle’s ambition extends beyond managing its own Fusion agents. The real strategic play is to become the enterprise control plane—the runtime layer that governs how Oracle-native agents, third-party agents, and homegrown, DIY agents discover, coordinate, and execute cross-functional workflows. This is a significantly more complex challenge than simply embedding AI into Oracle’s own applications. It requires Oracle to serve as a neutral orchestration broker, managing agent identity, permissions, escalation paths, and audit trails across heterogeneous environments.
The Oracle Fusion Applications AI Agent Marketplace, launched in October 2025, is an early signal of this intent. By curating and validating partner-built agents alongside its own native agents, Oracle is laying the groundwork for a managed ecosystem in which third-party and custom-built agents can operate within Oracle’s governance framework. The question is whether Oracle can extend this orchestration capability beyond its own stack to encompass agents running on competing platforms or built entirely in-house by enterprise development teams.
Emerging open standards are raising the stakes. Google’s Agent2Agent (A2A) protocol, Anthropic’s Model Context Protocol (MCP), and Salesforce’s Open Semantic Interchange (OSI) are creating the interoperability infrastructure that enterprises will demand. Most vendors, however, are hedging: publicly supporting open standards while privately optimizing for proprietary agent performance. Oracle will face the same tension: its full-stack advantage is most potent in a closed environment, but enterprise buyers increasingly demand agent portability and cross-platform interoperability.
Governance, not model quality, is now the gating factor for agentic AI at scale. Enterprises want granular policy controls, transparent escalation paths, and robust audit trails, especially in regulated industries. Microsoft has invested heavily in control planes, and ServiceNow is pushing orchestration standards. According to Futurum Group’s 1H 2026 Enterprise Software Decision Maker Survey (n=830), 38.8% of buyers expect GenAI to be delivered primarily via agents, and among those consolidating their application stacks, improving governance and streamlining AI agents rank among the top drivers.
If Oracle can deliver auditable, cross-platform agent governance, managing not just its own agents but those built by partners, competitors, and internal teams, it has a credible path to becoming the orchestration layer of choice for complex enterprises. If it cannot demonstrate openness and interoperability, it risks being sidelined in favor of vendors that prioritize neutral orchestration over proprietary control.
What to Watch
- Platform Lock-In or Open Orchestration: Will Oracle commit to industry agent orchestration standards (A2A, MCP, OSI) within 12 months, or double down on proprietary frameworks?
- Control Plane Ambition: Can Oracle extend its agent orchestration beyond Fusion to credibly manage third-party and DIY agents in heterogeneous environments?
- Governance Readiness: Can Oracle deliver the granular auditability and policy controls required for regulated industries before Microsoft and ServiceNow?
- Enterprise Adoption Threshold: Will Fortune 1000 CIOs trust Oracle’s agentic stack for mission-critical automation, or does integration risk keep multi-vendor strategies alive through 2027?
Sources
1. Oracle Introduces Fusion Agentic Applications for …
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Author Information
Keith Kirkpatrick is VP & Research Director, Enterprise Software & Digital Workflows for The Futurum Group. Keith has over 25 years of experience in research, marketing, and consulting-based fields.
He has authored in-depth reports and market forecast studies covering artificial intelligence, biometrics, data analytics, robotics, high performance computing, and quantum computing, with a specific focus on the use of these technologies within large enterprise organizations and SMBs. He has also established strong working relationships with the international technology vendor community and is a frequent speaker at industry conferences and events.
In his career as a financial and technology journalist he has written for national and trade publications, including BusinessWeek, CNBC.com, Investment Dealers’ Digest, The Red Herring, The Communications of the ACM, and Mobile Computing & Communications, among others.
He is a member of the Association of Independent Information Professionals (AIIP).
Keith holds dual Bachelor of Arts degrees in Magazine Journalism and Sociology from Syracuse University.
