Make the wait
for judgment measurable.
Working papers on how role-specific AI could reduce enterprise decision delays—and the controls and evidence needed to test that proposition.
The research collection
Sovereign Judgment Twins
A reference architecture for governed enterprise decision support
Connects authorized evidence, expert-informed frameworks, human authority and durable decision records, with a synthetic walkthrough and comparative evaluation plan.
Judgment Latency in Regulated Enterprises
A Conceptual Framework and Research Agenda for Role-Specific AI Decision Support
Defines judgment latency, separates evidence from hypotheses, and proposes six falsifiable propositions for role-specific AI decision support.
The WisdomTwin Trust Layer
A Testable Control Specification for Role-Specific AI Decision Support
Specifies authorization, role succession, evidence provenance, voice-meeting boundaries, human confirmation and testable release controls.
Measuring Judgment Latency and Net Time Recovery
A Staged Pilot Protocol for Role-Specific AI Decision Support
Defines staged testing, readiness clocks, quality constraints and measurement of human effort including review, rework and operating burden.
Evidence before claims
Observed evidence, proposed designs and synthetic examples carry distinct labels. Product outcomes require measurement.
Human authority remains explicit
Source access, generated recommendations and permission to act are separate questions.
Open and versioned
Read complete manuscripts, download the files and reuse original text with attribution under CC BY 4.0.