Alignment
Operational oversight, evidence requirements, and escalation before consequence.
Concern-to-capability mapping for institutional review — not regulatory approval.
Institutions evaluating agentic AI need a technical surface that shows how proposed actions are evaluated before execution.
Guardian Runtime addresses alignment at the execution threshold — where intention becomes consequence.
This mapping supports technical review and pilot scoping. It is not a substitute for legal, compliance, or organizational governance processes.
Governance concern mapping
| Governance concern | Guardian technical surface |
|---|---|
| Unsafe tool or API use | Pre-execution evaluation, block/delay/repair routes, and structured reason traces |
| Insufficient evidence for high-impact actions | Evidence sufficiency checks, scaffold/delay outcomes, and human-review routing |
| Opaque autonomous action | Replayable governed action records with proposed action, context, and outcome |
| Escalation and human oversight | Escalation paths, approval-required routes, and audit-preserving allow outcomes |
| Compute and cost governance | Risk-aware routing, latency/cost instrumentation, and route distribution metrics |
| Procurement and pilot readiness | Shadow-mode evaluation, deployment paths, and bounded technical-review artifacts |
Alignment is operationalized at the execution threshold — not only in principles documents.
Discuss alignment fit
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