Status: prototype.
The governance workflow is a prototype design for risk-adaptive policy and review. It is intended to coordinate access, review, escalation, and evidence capture, scaling validation requirements with a defined risk signal rather than applying one threshold to every decision. Production operation is not claimed.
Intended workflow
- Apply validation policy at the human–AI boundary according to an explicit risk signal.
- Compose human reviewers, operational owners, and AI agents in a defined decision path.
- Route high-stakes events to designated human sign-off paths.
- Emit decision-state evidence into the compliance ledger when that integration is implemented.
Design targets and research directions
The following are design targets, not production claims:
- Dynamic validation scaling. Thresholds expand or contract in response to risk indicators, confidence scores, and regulatory exposure.
- Structured diversity safeguards. Compositional guardrails preventing single-channel dominance in the decision path.
- Drift monitoring. Continuous assessment of language-model behaviour for factual drift, with anomalies flagged before propagating through the governance chain.