Oracle Unveils Fusion Claw With 25 New Agentic Applications

Oracle announced Oracle Fusion Claw on September 29, 2026, a governed agentic execution runtime for Oracle Fusion Agentic Applications, with 25 new Claw-powered agentic applications available to Oracle Fusion Applications customers.

According to Oracle, the runtime combines AI reasoning with deterministic enterprise computation so that highly complex work can be completed economically at scale. The company said the new applications can reason, compute, adapt, and execute specialist-grade work, including deep research, computation, simulation, modeling, and continuous re-planning. They join a portfolio of 75 Agentic Applications that Oracle says coordinate and execute end-to-end business processes. Oracle describes Agentic Applications as a new class of outcome-based applications: people define the objectives, authority, and accountability, and the applications coordinate the process required to reach an outcome.

Oracle CEO Mike Sicilia said every organization is asking how AI can create measurable value, and that Fusion Claw moves customers beyond AI assistance and into execution, letting AI take on more of the work while people set the objectives and guardrails.

Execution Runtime and Governance Controls

Oracle said Fusion Claw supports larger-scale and longer-running work, continuous replanning, deterministic execution, and increased governed autonomy. Each Claw Outcome begins with a frontier model that reasons, plans, learns, and adapts; Fusion Claw then uses deterministic enterprise computation to execute precisely and at scale. The company said this separation gives Fusion Applications customers a potential economic advantage by applying AI reasoning only where intelligence is needed and using efficient deterministic computation for high-volume execution.

Governance runs through what Oracle calls an Enterprise Operating Envelope, which covers an organization’s objectives, standard operating procedures, policies, constraints, permissions, risk thresholds, decision rights, approval requirements, and escalation boundaries. An Outcome Trust Harness enforces the envelope across all outcomes, applying specific governing authority and controls to each outcome run, including identity, capabilities, data, and actions. When an outcome completes, an Outcome Receipt provides an auditable record of the authority applied, the evidence used, the decisions made, the actions and transactions executed, and the result. Customers can also set the automation level for each process, ranging from quick assistance to governed full-auto execution within explicitly delegated authority.

Applications, Infrastructure, and Ecosystem

Oracle described four of the 25 available applications by function. Ledger is aimed at finance leaders and works across large volumes of accounting entries to reconcile information, investigate exceptions and anomalies, and apply deterministic computation to financial analysis and execution. Workforce Staffing builds executable staffing plans that balance skills, accreditations, availability, schedules, labor rules, and costs against coverage and service requirements, with continuous re-planning as conditions change. Shipping Consolidation models consolidation alternatives across timing, capacity, service commitments, and cost, then carries the best-supported plan into governed execution when authorized. Account Territory Growth Plan models and compares territory configurations, evaluates tradeoffs, and optimizes against capacity and business constraints before governed action.

Fusion Claw runs on Oracle Cloud Infrastructure and is powered by frontier models including Gemini and OpenAI, and Oracle said support for additional frontier models is planned over time. The new applications extend a Fusion AI ecosystem anchored by Oracle AI Agent Studio for Fusion Applications. With the Agentic Applications Builder and AI Studio Skill, organizations can create and manage agentic applications using reusable Oracle, partner, and external agents through no-code and pro-code capabilities, with built-in observability, ROI measurement, and safety controls.

Oracle expanded AI Agent Studio for Fusion Applications on March 24, 2026 at Oracle AI World in London, adding the Agentic Applications Builder along with workflow orchestration, content intelligence, contextual memory, multimodal model capabilities, and an Agent ROI dashboard that measures time saved, cost savings, and productivity gains per agent. Oracle said at the time that AI Agent Studio was available at no additional cost to Fusion Applications customers and partners, and that more than 63,000 certified experts had been trained in it. Chris Leone, executive vice president of Applications Development at Oracle, said the updates were intended to help organizations move past dashboards and copilots toward AI-powered applications that actively run business processes.

Partner and Analyst Statements

Accenture Chair and CEO Julie Sweet said Fusion Claw enables organizations to apply AI to more complex, outcome-driven work while humans remain in charge. Deloitte Global CEO Joe Ucuzoglu said the two companies are helping organizations progress from small, isolated AI pilots to adoption at scale, with accountability and control kept central. Kevin Ichhpurani, president of Google Cloud’s Global Partner Ecosystem, said bringing Gemini models to Fusion Claw pairs frontier AI with the context, governance controls, and execution capabilities of Oracle’s enterprise applications.

Aly Pinder, research vice president at IDC, described Fusion Claw as the next step for enterprise agentic AI, saying Oracle is shifting from agents that assist with individual tasks toward applications that take on increasingly complex work tied to a business outcome. Rob Fisher, Global Head of Advisory at KPMG International, said Fusion Claw is designed to combine greater autonomy with the trust, accountability, and controls organizations need for high-value processes. Dan Priest, US Chief AI Officer at PwC, said capabilities like Fusion Claw let organizations apply AI to more complex business processes that demand both autonomy and governed execution.