Viindoo AI - Operating Layer (P-OPS-1)
Foundation layer for AI operational governance. Provides the business-level
objects that sit between the AI capability layer (viin_ai_agent) and external
approval/workflow systems (P-OPS-2/3).
Key models
- AI Goal - operational goal providing context for AI work items.
Typed as KPI target, initiative, routine, or risk control.
- AI Work Item - authoritative state record for one AI-driven task.
Lifecycle: draft -> in_progress -> done / cancelled.
- AI Action Proposal - side-effecting action waiting for governance
routing. Agents MUST create a proposal instead of executing directly
for medium/high risk operations.
- AI Control Policy - governance rule evaluated in sequence order.
Routes proposals to auto_execute, require_approval, or block.
Side-effect flow lock
When an AI agent proposes a medium or high risk action, it creates an
ActionProposal (state=draft). Calling action_route() applies the
matching ControlPolicy:
- low risk + auto_execute policy -> approved (caller may proceed)
- medium/high risk -> pending (requires human approval, P-OPS-2)
- block policy -> rejected
This prevents AI agents from bypassing human oversight for consequential
operations.
Supported Editions
- Community Edition
- Enterprise Edition
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