Governance
Automation with a visible decision trail
Optimic's growth story is not just automation. It is automation paired with review queues, certainty signals, approvals, rollback paths, and activity history.
The core governance surfaces
These are the public and product-backed control points that explain how Optimic keeps autonomous work reviewable.
Review Queue
Work that should not run unattended can be routed into review instead of executing automatically.
AI certainty
Confidence signals are visible in review and workflow surfaces so teams can judge when to approve, modify, or hold work.
Approvals and permissions
Permissions and approval routing help define what can run automatically and what requires a person in the loop.
Rollback and recovery
Safety and recovery surfaces include checkpoints, rollback paths, and emergency stop controls when changes need to be reversed or paused.
Auditability
Activity log and audit trail views exist so actions, approvals, and follow-up decisions can be traced after execution.
Autonomy has two layers
Safety controls live execution with two modes: Auto run and Review first. The four categories are workflow routes, not four extra modes in the execution switch.
A content update, an experiment, a compliance task, and a billing-adjacent workflow should not all cross the same approval threshold. Governance is how those thresholds stay explicit.
Governance routes
Auto-run eligible
For work that can run only when permissions, certainty, and monitoring gates pass.
Review gated
For work where AI proposes and a human approves, modifies, or declines.
Manual-only
For workflows that stay explicitly human-directed.
Legal review
For compliance-sensitive workflows that need stronger review and audit trails.
Governance should be inspectable
A public governance page is useful only if it points to surfaces that can actually be inspected. That is why this story connects directly to trust, methodology, docs, and proof structure.