> For the complete documentation index, see [llms.txt](https://functor.gitbook.io/functor-network-docs/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://functor.gitbook.io/functor-network-docs/use-cases/omnichain-automation.md).

# Omnichain Automation

Functor’s architecture fundamentally upgrades the web3 ecosystem by shifting operations from manual, human-triggered execution to **autonomous**, **machine-driven** systems. \
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This is powered by our core capabilities in **cross-chain execution logic** and real-time strategy triggers.

By enabling programmable permissions and secure, self-custodial signers, Functor empowers AI agents to act independently and verifiably onchain. This unlocks a new design space for **agent-to-agent commerce** and coordination that can operate across **any chain** without direct human intervention.

For developers and funds, this translates into powerful, real-time use cases:

### **Autonomous Traders**

AI agents can be deployed to execute complex trading strategies 24/7. 

These agents can perform **agentic payments** and conduct trades across multiple protocols and chains, all while remaining fully **self-custodial**. 

This means the agent acts on your behalf without ever taking ownership of your assets, providing unparalleled security for automated systems.

### **Dynamic Capital Allocation**

Capital can be automatically reallocated between different strategies, chains, or markets based on predefined triggers or real-time data inputs. 

*For example, an agent could move assets to a higher-yield farm on a different chain the moment it becomes available.*

### **AI-Native Financial Markets**

Functor’s infrastructure supports the creation of entirely new financial markets designed for the speed and scale of an **agentic economy**, all while maintaining **self-custody** and **onchain security**.