WisdomTwin.ai
WisdomTwin Research

WisdomTwin Research

WisdomTwin Research develops testable frameworks, protocols and evidence concerning governed, role-specific Judgment Twins. Working papers are published open access, label every claim by status, and are revised as evidence accumulates.

Working papers in this program are preprints. They are not peer reviewed and report no live-enterprise deployment or causal product-performance result.

Working papers

The catalog.

One working paper is published. Each entry lists its identifier, version, status and license, and links to a stable open-access PDF.

Working paperWT-100-001Version 2.0September 3, 2026Open access, CC BY 4.0

Judgment Latency in Regulated Enterprises: A Conceptual Framework and Research Agenda for Role-Specific AI Decision Support

Roman Bodnarchuk, Co-Founder and Chief Executive Officer, WisdomTwin, Inc. Toronto, Ontario, Canada.

Defines judgment latency as the elapsed time between decision readiness and attention by the person or forum whose judgment is required, proposes the AI Judgment Twin as a role-specific, evidence-grounded decision-support architecture, and states six falsifiable propositions with a staged empirical evaluation protocol.

Read the paper pageDownload the PDF

Working paper / preprint. Not peer reviewed. DOI: pending repository deposit. It reports no live-enterprise deployment or causal product-performance result.

Research standards

How this program treats claims.

The program exists to make the judgment-latency thesis testable, not to manufacture validation.

Claim status is explicit

Every statement is labeled as established evidence, author-derived arithmetic, conceptual proposition, illustrative scenario or design requirement. Nothing is presented as a measured product result.

Working papers, not peer review

Papers in this series are preprints. They are not peer reviewed, and they report no live-enterprise deployment and no causal product-performance result.

Open access, stable records

Papers are published under Creative Commons Attribution 4.0 with stable URLs, open PDFs and machine-readable records. No login and no interaction gate.

Machine access

Stable records for humans and machines.

Every record below is public, versioned and directly accessible without login.

Questions about the research program go to roman@wisdomtwin.ai.