Oracle Fusion Claw Adapts OpenClaw’s Agentic AI Approach For Enterprises

An AI agent can be capable enough to do the job and still be too expensive to put to work. Give it a million accounting records, and the economics become harder to ignore. If a language model reasons through each entry individually, processing costs accumulate while the company waits for results.

Oracle’s answer is Fusion Claw, a new runtime designed to make complex AI work more economical within its enterprise applications. Inspired by OpenClaw’s idea of giving an agent its own computing ecosystem, it provides an isolated environment where agents can work through specialist assignments under customer-defined rules and permissions. AI develops a plan and assembles the tools needed to execute it, then hands the work to deterministic computation, avoiding a separate call to the language model for every calculation.

The IT giant is betting that separating AI reasoning from execution will make it economical to automate work its applications still leave to specialists. How much work can companies confidently delegate before an expert needs to step in and reconsider the plan?

Oracle CEO Mike Sicilia sees an opportunity to make enterprise software more useful.

“Today, people still spend considerable time pulling data out of systems, analyzing it, deciding what to do, and then going back into those systems to take action,” he tells me in a written statement. “With Fusion Claw, agentic AI can do more of that work on its own while keeping people in the loop to the extent the customer chooses.”

Sicilia explains that Fusion gives agents a practical place to execute this work because it already holds customers’ financial records and business rules. Existing access controls restrict what agents can use, while customers determine which actions they can take independently and which require human approval. Those boundaries allow AI to “reliably handle more work,” he says, “freeing resources and giving people more time to solve problems, serve customers, and drive innovation.”