Flowvenue integrates external systems while keeping process logic inside its governed runtime. AI can interpret intent and select a capability, while authentication, parameters, validation, calls and outcomes remain controlled by the process.
APIs and external systems
A process can call external APIs and use their outputs in later steps. Integrations can include authentication, input mapping, output mapping and validation of required data.
MCP as an interoperability layer
Flowvenue also uses Model Context Protocol to expose capabilities to compatible AI clients and interact with remote tools. Business logic does not move into the client; it remains in the runtime.
Credentials and permissions
Integrations must operate within the organization’s authorization model. Credentials and connections should not be treated as free-form text inside an LLM prompt.
Error handling
Authentication failures, invalid parameters or unexpected external responses should not be presented as successful outcomes. Flowvenue separates technical execution results from conversational responses and can return structured errors and recovery guidance.
Why it matters
Enterprise integration quality depends not only on the ability to call an API, but on governing credentials, inputs, outputs, errors, permissions and process continuity.