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WisdomTwin Research · Working paper

Measuring Judgment Latency and Net Time Recovery: A Staged Pilot Protocol for Role-Specific AI Decision Support

Roman Bodnarchuk, Co-Founder and CEO, WisdomTwin, Inc.. ORCID 0009-0004-3113-2118

WT-300-001Version 1.0September 24, 2026Open access, CC BY 4.0

Working-paper protocol; not peer reviewed and not preregistered. No participants have been recruited, no pilot conducted, and no effectiveness or safety results are reported. Host, approvals, sample size and acceptance margins must be specified before implementation. No DOI has been assigned.

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Bibliographic details.

Identifier
WT-300-001, version 1.0
Type
Working paper / preprint (proposed pilot protocol)
Published
September 24, 2026
Status
Proposed protocol. Not peer reviewed, not preregistered. Host-dependent fields unresolved. No study conducted and no results reported.
DOI
No DOI assigned.
License
Creative Commons Attribution 4.0 International (CC BY 4.0), original text
Language
English
File
PDF, 9 pages, 107,395 bytes
PDF SHA-256
2d74aee1853b4709cfae53320d1ee18e623e835d75b7fc646d01fb73ef7b584a

Abstract

Claims that role-specific AI can save hours per day require a design that distinguishes elapsed waiting from human effort, counts review and maintenance burden, and treats decision quality and confidentiality as constraints. This paper proposes a staged evaluation of the AI Judgment Twin concept. Retrospective testing establishes bounded task performance, prospective shadow mode estimates feasibility without affecting decisions, and an authorized controlled pilot compares assisted work with the existing workflow. Decision readiness is defined independently of treatment assignment. The primary outcome is elapsed time to accountable human disposition, supplemented by the narrower judgment-latency interval and net human time per eligible episode. All assigned episodes, including declines and failures, remain in the analysis. The protocol specifies quality review, cluster-aware analysis, missing-data treatment, serious-incident stopping rules, and claim wording tied to observed evidence. It is a research design and does not establish that WisdomTwin reduces time, preserves quality, or is ready for regulated deployment.

Subject terms

  • judgment latency
  • enterprise AI
  • pilot evaluation
  • net time recovery
  • controlled trials
  • human oversight
  • decision quality

How to cite

Bodnarchuk, R. (2026). Measuring judgment latency and net time recovery: A staged pilot protocol for role-specific AI decision support (WisdomTwin Working Paper WT-300-001, Version 1.0). WisdomTwin, Inc.

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Declarations

What this paper is and is not.

  • Interest and authorship: Prepared for Roman Bodnarchuk, WisdomTwin co-founder and CEO, with a financial interest in the proposed intervention. Generative AI assisted in drafting and production. Independent methods and domain review have not been completed.
  • Data and ethics: No empirical data, participants or live enterprise interventions. The numerical examples are illustrative arithmetic, not data. No ethics approval, participant consent, preregistration or trial registration is claimed.
  • Funding: No additional research-funding information was supplied for this companion draft.
  • Publication: Working paper, not peer reviewed; DOI unassigned. CC BY 4.0 applies to original text. Third-party sources retain their own rights.

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