Operational Judgment in AI-Assisted Financial Analysis
Abstract
AI-assisted financial analysis can increase speed without automatically improving judgment. This article develops a practical control framework for separating machine-generated analysis from accountable professional decisions, with emphasis on traceability, escalation thresholds, and reviewable reasoning.
Keywords
AI governance; professional judgment; traceability
Suggested Citation:
JQPP Editorial Office. (2026). Operational Judgment in AI-Assisted Financial Analysis. Japan Quarterly of Professional Practice, 1(3), Article 001.
Declarations
Declaration of interest
The author declares no competing interests.
Funding
No external funding was received.
Ethics statement
Not applicable; the article does not involve human participants or personal data.
AI use
Generative AI tools were used for language refinement. Responsibility for the analysis and final text remains with the author.
Data availability
No external dataset is associated with this article.
Article Information
Received
1 September 2026
Accepted
20 September 2026
Published
26 September 2026
Publication status
Volume 1, Issue 3
Review model
Editorially reviewed; not externally peer reviewed
License
Record
2026-001