# Enterprise Integration Enterprise operations onchain require mechanisms for fine-grained **control** and policy enforcement that go beyond standard multi-signature wallets. Functor's architecture introduces a set of technical primitives designed to enable such operations with a high degree of **customization** and verifiable **security**. The technology makes it possible to define dynamic, policy-driven workflows, offering a more flexible alternative to rigid, hard-coded smart contract logic for managing team-based assets and operations. ### **Programmable Policy Control** Functor enables **programmable policies** to be layered on top of accounts. This allows for the **customization** of operational workflows. *For example, policies can define specific rules like spending limits, required signers based on transaction size, or whitelisted counterparties.* ### **Onchain Verification for Security and Trust** **Security** is rooted in **onchain verification**. All policies are enforced directly by the network, which minimizes reliance on off-chain components or trusted third parties. This creates a transparent environment where the rules governing an account are auditable and their execution is guaranteed by the protocol, establishing **trust** in the system’s integrity. ### **Foundations for Institutional Workflows** These technical primitives - programmable policies, onchain verification, and flexible signer logic - form the building blocks for **institutional-grade** infrastructure. They make it possible to construct decentralized treasury management systems and other complex financial workflows within a self-custodial framework. --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://functor.gitbook.io/functor-network-docs/use-cases/enterprise-integration.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.