Positioning
Applications
Decision-Space Integrity was developed to evaluate expected-path visibility in advisory AI outputs. The underlying audit pattern may be applicable to other domains where expected information must remain visible and auditable.
Current application
Where DSI is implemented today.
Advisory AI
DSI evaluates which configured expected paths are visible, missing, or recovered in advisory model outputs. Example domains include career, finance, and relationship decision-support scenarios.
Current
Exploratory applications
Where the pattern might extend.
Retrieval-Augmented Generation (RAG)
The audit pattern may be applicable where retrieved information is expected to remain visible in generated outputs. This remains exploratory work and is not part of the current product.
Exploratory
Evidence Assurance
The audit pattern may be applicable where supplied evidence is evaluated against configured expectations and reviewed through a structured audit process. This remains exploratory work and is not part of the current product.
Exploratory
Research directions
Active exploration, not current capability.
Future research may explore additional applications of expected-path visibility measurement, structured evaluation workflows, and evidence-oriented audit patterns. These areas are active exploration rather than current product capabilities.
Research
Important scope note
These examples describe potential areas of exploration. The current DSI implementation focuses on expected-path visibility in advisory model outputs.
This work measures visibility of configured expected paths in model outputs. It does not measure advice quality, factual correctness, user outcomes, or regulatory compliance.