Governance Model

Control, auditability, and accountable ownership.

Governance is embedded into system architecture, not appended later. We define approval paths, escalation rules, and ownership before deployment begins.

Executive sponsor and operational owner assigned per workflow.

Approval gates defined for high-impact decisions.

Audit logs immutable and reviewable across teams.

Policy enforcement integrated into retrieval and inference layers.

Model changes require governance review and rollback plans.

Escalation paths tied to operational SLAs and compliance needs.

Governance reduces deployment risk.

Clear ownership and approval structures prevent uncontrolled autonomy and ensure operational leaders remain accountable for AI outcomes.