Alignment
Operational oversight, evidence requirements, and escalation before consequence.
Concern-to-capability mapping for institutional review — not regulatory approval.
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Institutions evaluating consequential AI agents need a technical surface that shows how proposed actions are assessed before execution.
Guardian Runtime addresses this at the execution threshold—where proposed action becomes operational consequence.
This mapping supports technical review and pilot scoping. It is not a substitute for legal, compliance, security, functional-safety, or organizational-governance processes.
Governance concern mapping
| Governance concern | Guardian technical surface |
|---|---|
| Unsafe or unauthorized tool use | Pre-execution evaluation, constraint, repair, deferral, escalation, denial, and structured reason traces |
| Insufficient evidence for high-consequence actions | Evidence sufficiency checks, narrowed execution, delay, and accountable human-review routing |
| Opaque autonomous action | Replayable responsibility records containing proposal, evidence, authority, decision, repair, and available outcome context |
| Escalation and human oversight | Approval-required paths, structured escalation context, and audit-preserving decisions |
| Compute and cost governance | Risk-aware routing, latency and cost instrumentation, and decision-route metrics where configured |
| Procurement and pilot readiness | Observation mode, shadow-mode comparison, fit assessment, and bounded evidence artifacts |
Institutional alignment is supported through explicit action, evidence, authority, and review surfaces—not inferred from principles alone.
Discuss alignment fit
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