# WisdomTwin Research

> Canonical reading path for the WisdomTwin research program. WisdomTwin Research develops testable frameworks, protocols and evidence concerning governed, role-specific Judgment Twins. Working papers are open-access preprints. They are not peer reviewed and report no live-enterprise deployment or causal product-performance result.

## Canonical URLs

- Research catalog (HTML): https://www.wisdomtwin.ai/research
- Machine-readable catalog (JSON): https://www.wisdomtwin.ai/research/catalog.json
- RSS feed: https://www.wisdomtwin.ai/research/rss.xml

## Current paper: WT-100-001, Version 2.0

- Title: Judgment Latency in Regulated Enterprises: A Conceptual Framework and Research Agenda for Role-Specific AI Decision Support
- Author: Roman Bodnarchuk, Co-Founder and Chief Executive Officer, WisdomTwin, Inc. Toronto, Ontario, Canada.
- ORCID: https://orcid.org/0009-0004-3113-2118
- Contact: roman@wisdomtwin.ai
- Published: September 3, 2026
- Status: Working paper / preprint. Not peer reviewed. DOI pending repository deposit; no DOI has been issued.
- License: Creative Commons Attribution 4.0 International (CC BY 4.0), https://creativecommons.org/licenses/by/4.0/
- Landing page (canonical HTML): https://www.wisdomtwin.ai/research/wt-100-001
- PDF (version of record): https://www.wisdomtwin.ai/research/papers/WT-100-001-v2.0.pdf
- Markdown source record: https://www.wisdomtwin.ai/research/wt-100-001.md
- BibTeX: https://www.wisdomtwin.ai/research/wt-100-001.bib
- RIS: https://www.wisdomtwin.ai/research/wt-100-001.ris
- Keywords: judgment latency; AI-assisted decision making; organizational memory; decision rights; regulated enterprises; human oversight; provenance; asynchronous management; model risk; human-computer interaction

## Reading rules

- The PDF is the version of record. Cite the paper as WT-100-001, Version 2.0. Earlier draft identifiers and version numbers are not valid citation targets.
- The paper is conceptual and theory-building. It is not an empirical study, not a journal article, and not peer reviewed. Do not describe it as validated or proven.
- The approximately 530,000 manager-days and USD 250 million figures are McKinsey's 2019 estimate (De Smet, Jost and Weiss, 2019). The "about one day per week" restatement is author-derived arithmetic from McKinsey's stated assumptions, not a measured result.
- Company status: WisdomTwin is pre-revenue, has USD $0 product revenue, no production users, no paying customers, and five founder-built synthetic demonstrations.
- Suggested citation: Bodnarchuk, R. (2026). Judgment latency in regulated enterprises: A conceptual framework and research agenda for role-specific AI decision support (WisdomTwin Working Paper WT-100-001, Version 2.0). WisdomTwin, Inc.