Public engineering proof / Applied AI · OpenAI optional
Controlled AI Decision Pipeline
Combines evidence-grounded model recommendations with deterministic authority rules and human approval.
Problem
Model output can be uncertain, malformed, or weakly supported. A product needs clear limits on what a model can recommend and what requires human review.
System
Typed evidence snapshots and schema-constrained output feed deterministic policy. Evidence quality and confidence are modeled separately; the system records provenance, applies safe-action allowlists, and gates consequential actions on approval.
Architecture
- Canonical evidence
- Constrained model output
- Evidence and confidence checks
- Deterministic policy
- Approval gate
- Auditable outcome
Demonstrated capabilities
- • Schema-constrained and evidence-grounded outputs
- • Evidence quality, confidence, and provenance modeling
- • Deterministic authority policy and safe-action allowlists
- • Human approval and explicit non-actionable failure states
Commercial applications
- • AI-assisted product features
- • Operator copilots
- • Decision support
- • Human-in-the-loop review workflows
Related VantaBlade Product Systems
Where this pattern appears in integrated product evidence.
These relationships indicate a shared engineering pattern. This repository does not reproduce the complete product or imply code identity.