ActiveSync coordinates how, when, and in what order policy-approved actions execute across distributed AI systems. It enforces deterministic execution ordering, resolves conflicts according to authority boundaries, and maintains state consistency for actions that have passed ActivePolicy evaluation.
ActivePolicy determines which actions are permitted. ActiveSync determines how those actions execute across multiple systems. Without coordination, approved actions can conflict, execute out of order, or violate authority boundaries even when individually compliant.
ActiveSync completes the governance model by ensuring that policy-approved actions execute correctly in distributed environments.
ActiveSync coordinates actions that have already passed policy evaluation. It enforces execution ordering based on authority boundaries, resolves conflicts deterministically according to governance rules, and escalates to human authority when automatic resolution is not permitted.
This is coordination in service of governance—not generic task distribution.
Given the same set of policy-approved actions, ActiveSync produces the same execution order. Ordering is governed, not arbitrary.
Resolves conflicts between competing actions according to authority boundaries. Escalates to human decision when governance rules require it.
Maintains consistent view of execution state across distributed systems. Prevents actions from proceeding with stale or conflicting state.
Records execution order and conflict resolution decisions. Coordination is auditable and replayable alongside policy decisions.
ActivePolicy without ActiveSync cannot safely coordinate multiple systems. ActiveSync without ActivePolicy lacks enforcement boundaries. Together they enable controlled, auditable AI execution in regulated environments where multiple systems must operate under unified governance.
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