Control before execution
Requests enter with tenant, product, and ownership context before they become runnable work. That keeps integration changes tied to policy and accountability.

DSS gives teams a controlled engine for integration work that needs policy, audit, tenant context, and repeatable handoff instead of disconnected scripts.
Requests enter with tenant, product, and ownership context before they become runnable work. That keeps integration changes tied to policy and accountability.
The operating model is built around retained decisions, visible status, and handoff records so teams can review what happened without reconstructing it later.
Use MSPStudio for tenant delivery, Pick & Drop for governed movement, and Consensus for gated AI work while preserving one control standard.
DSS coordinates integration work through product workflows that apply policy, audit, tenant context, and controlled handoff.
No. DSS focuses on the control layer around integration work and composes with product-specific runtimes where the work is executed.