When AI moves from generating text to executing real processes, the risk model changes. An assistant that summarizes a document and a system that can create records, send communications, trigger integrations or advance a workflow cannot be governed in the same way.
The trust layer must sit below the model
Flowvenue separates intent interpretation from execution governance. Permissions, roles, process state, validation, approvals and audit belong to the application runtime, not to the probabilistic behavior of the model.
Certifications and enterprise requirements
Flowvenue has invested in a compliance and control framework that includes ISO 27001, ISO 27017, ISO 27018 and ISO 9001 certifications, together with applicable ACN requirements. These elements help make organizational and technical controls independently understandable and verifiable.
Hosting and data handling
For European customers, data location and processing are architectural considerations. Flowvenue operates with European hosting and provides governance capabilities designed for enterprise environments, including auditing and access controls.
AI governance
AI compliance cannot be reduced to a policy document. Organizations need to know which model is used, what data is exposed, which actions the model can propose, which actions require approval and which independent controls limit execution. Flowvenue is designed so the model is not the only line of defense.
MCP and security
The same applies to MCP. Making a capability available to an AI client does not mean granting unrestricted access. Identity, authorization, scopes and governance remain part of the system exposing the process.
Why this is a product capability
In enterprise software, security is not only a compliance requirement. It determines which processes an organization is willing to entrust to a system. As AI moves from answering to acting, the trust layer becomes a functional part of the product.