Oracle Fusion Claw Runtime Automates ERP Tasks With Strict Agent Controls
Oracle’s new runtime governs AI agents in Fusion apps, shifting from assistance to execution while raising analyst concerns about cloud lock-in.

Key points
- Oracle Fusion Claw runtime enables AI agents to execute business processes within policy limits on Oracle Cloud Infrastructure.
- The system uses frontier models from Google and OpenAI to automate tasks in ERP, finance, and supply chain management.
- Analysts warn that early adoption may increase customer dependence on Oracle’s specific applications and cloud environment.
Oracle has introduced Fusion Claw, a runtime environment designed to govern artificial intelligence agents operating within its Fusion cloud applications. This new component allows automated systems to reason, decide, and act on defined business objectives rather than merely assisting users. The platform runs on Oracle Cloud Infrastructure and integrates directly with existing enterprise resource planning, finance, and supply chain management modules.
How does Fusion Claw change AI usage in Oracle apps?
The runtime shifts the role of artificial intelligence from passive assistance to active execution. According to Oracle CEO Mike Sicilia, the company aims to solve the challenge of deriving measurable value from AI investments. Fusion Claw enables customers to automate complex workflows across critical business processes while maintaining enterprise-grade governance. This represents a move away from simple chatbot prompts toward structured, policy-driven automation that can handle heavy operational tasks independently.
What technical components power this runtime?
Fusion Claw operates by provisioning isolated containers to execute specific tasks such as supply chain optimizations and subledger reconciliations. These containers run within clear policy limits, ensuring that agents do not exceed predefined boundaries. The system is powered by frontier models, including those provided by Google and OpenAI. Oracle stated that support for additional models is planned for future releases, allowing the runtime to leverage multiple foundational AI technologies over time.
What do analysts say about this approach?
Industry analysts have welcomed the tighter controls offered by Fusion Claw, viewing them as a way to provide assurance in AI agent implementations. A recent Gartner assessment noted that Oracle is rebuilding its application foundation around native agentic workflows instead of bolting AI onto legacy backends as a sidecar copilot. However, Gartner and other observers warned that adoption remains at an early stage. They cautioned that customers risk becoming more tightly tied to Oracle’s applications and cloud infrastructure, potentially increasing vendor lock-in.
What should security teams consider before adopting?
Organizations should evaluate the governance controls provided by the runtime to ensure they align with internal security policies. Since the system relies on external models from providers like Google and OpenAI, teams must consider data handling implications and model access permissions. Reviewing the isolated container provisions can help verify that heavy computational tasks remain confined to secure environments. Monitoring early-stage features for stability and policy enforcement accuracy is also advisable before scaling automation efforts.
What to do and how to stay safe: Oracle
- Review the policy limits and governance controls available in the Fusion Claw runtime to ensure they meet your organization’s security requirements.
- Assess the data flow implications of using external models from Google and OpenAI within your isolated container environments.
- Monitor the stability and accuracy of automated workflows during early adoption phases to detect any policy violations or unexpected behaviors.
- Evaluate the potential for increased vendor lock-in by analyzing how deeply the runtime integrates with your existing Oracle Cloud Infrastructure commitments.
General security guidance from the Firewall Scoop newsroom. It is not confirmed advice from the organisations named in this story.
Frequently asked questions
Which AI models power the Oracle Fusion Claw runtime?
The runtime is powered by frontier models including those from Google and OpenAI, with support for other models planned for future releases.
What business processes does Fusion Claw target?
Oracle targets enterprise resource planning, finance, and supply chain management for cloud-based Fusion applications running on Oracle Cloud Infrastructure.
Why are analysts concerned about Fusion Claw adoption?
Analysts warn that while controls are welcome, early adoption may lead to increased cloud lock-in, tying customers more tightly to Oracle’s specific applications and infrastructure.



