Decision ownership
Who owns the recommendation, disposition, and stop authority.
AI governance should not begin after automation breaks trust.
BBI Edge helps organizations design governance around the decision, the evidence, the risk, the human-review boundary, and the next action.
Governance is not just policy. It is how AI decisions are controlled, reviewed, documented, escalated, and improved in real operations.
Who owns the recommendation, disposition, and stop authority.
What data and context must exist before action.
What uncertainty or exposure remains.
Where a person must approve, stop, or escalate.
What happens when exceptions or conflicts appear.
What must be reconstructable later under pressure.
What AI may draft, and what humans must confirm.
How governed automation enters and evolves in the workflow.
Decision → Evidence → Risk → Human Review → Next Action
This pattern keeps governance tied to operating reality instead of abstract policy decks.
Proof-safe deliverables — not legal compliance, certification, or regulatory approval:
It is advisory work that designs how AI decisions are owned, evidenced, reviewed, documented, and escalated inside real operations.
Before scaling automation, exposing AI output to customers or leadership, or using AI in high-trust workflows.
No. Any team that needs trust before automation can benefit from clear ownership, evidence, and review gates.
Human review is a control point inside governance — the place where a person can approve, stop, or escalate before action.
No. BBI helps design operating governance. Legal and compliance remain the owners of their respective reviews.
Yes. Governance is especially relevant where ERP, inventory, purchasing, QA, reporting, or exception workflows touch AI.
BBI will help you decide what governance belongs around it.