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Improving Pre-Review Screening with AI-Powered Journal Scope Check

Improving Pre-Review Screening with AI-Powered Journal Scope Check

04 Sep 2026

Problem Statement

Pre-review screening played an important role in determining whether a manuscript was suitable to progress to peer review.

Editorial teams had to evaluate whether submitted manuscripts aligned with the journal's aims and scope before assigning them to reviewers. As manuscript submission volumes increased, manually checking the relevance of every submission added to the editorial workload.

When out-of-scope manuscripts progressed further into the peer review workflow, they could also consume valuable reviewer time and create unnecessary administrative work.

The key challenges included:

  • Manual Journal Scope Checking

  • Increasing Manuscript Screening Workload

  • Time Spent Evaluating Out-of-Scope Submissions

  • Unnecessary Progression of Unsuitable Manuscripts

  • Longer Pre-Review Screening Processes

  • Growing Editorial Workload

A more efficient manuscript screening process was required to help editorial teams identify potentially out-of-scope submissions earlier while keeping the final editorial decision with the editor.

Solution: AI-Powered Scope Check in Kryoni JMS

Kryoni Journal Management System (JMS) addressed this challenge through an AI-powered Scope Check integrated into the pre-review workflow.

The Scope Check supported editorial users in evaluating whether a submitted manuscript aligned with the journal's defined scope before it progressed further into the editorial and peer review process.

AI-Assisted Manuscript Scope Screening

During pre-review screening, the AI Scope Check analyzed the manuscript against the journal's defined scope.

This provided editorial users with an additional layer of support when evaluating manuscript relevance.

Instead of depending entirely on manual assessment during the initial screening stage, editors were able to use the Scope Check as part of their journal editorial workflow.

Earlier Identification of Out-of-Scope Manuscripts

Identifying potentially out-of-scope manuscripts earlier helped prevent unsuitable submissions from unnecessarily progressing toward reviewer assignment.

This was particularly important because every manuscript moved into peer review could require:

Reviewer Selection → Reviewer Assignment → Invitations → Follow-Ups → Review → Editorial Decision

By strengthening manuscript screening before these activities began, the journal was able to make better use of editorial and reviewer capacity.

Supporting Editorial Decisions, Not Replacing Them

The AI-powered Scope Check was designed to support editorial assessment rather than replace it.

Editorial users remained responsible for determining whether a manuscript should progress further in the workflow.

This maintained human editorial oversight while using AI to assist with repetitive and time-consuming pre-review checks.

Integrated Pre-Review Workflow

The Scope Check operated within Kryoni JMS, keeping manuscript screening connected to the broader journal management workflow.

This created a structured process:

Manuscript Submission → Pre-Review Screening → AI Scope Check → Editorial Assessment → Peer Review

Keeping these activities within the journal management system reduced fragmented processes and provided editorial users with a more connected approach to manuscript evaluation.

Outcome

The AI-powered Scope Check helped create a more efficient and structured pre-review screening process.

Kryoni JMS helped:

  • Identify Potentially Out-of-Scope Manuscripts Earlier

  • Support Faster Initial Manuscript Screening

  • Reduce Unnecessary Progression to Peer Review

  • Reduce Manual Scope-Checking Effort

  • Protect Reviewer Capacity

  • Reduce Unnecessary Reviewer Assignments

  • Improve Editorial Workflow Efficiency

  • Maintain Human Editorial Oversight

  • Centralize Manuscript Screening Within the Journal Management System

By introducing AI assistance at the pre-review stage, editorial teams were able to focus their attention on manuscripts that were more relevant to the journal while retaining complete control over editorial decisions.

Conclusion

Manual scope checking had added to editorial workload and allowed potentially unsuitable manuscripts to consume valuable time before peer review.

Kryoni JMS addressed this challenge with an AI-powered Scope Check integrated into the pre-review screening workflow.

By helping identify potentially out-of-scope manuscripts earlier, the system supported more efficient manuscript screening, editorial workflow management, and reviewer capacity utilization, while keeping final decisions in the hands of editorial users.

Frequently Asked Questions

What is an AI-powered journal Scope Check?
An AI-powered Scope Check analyzes a submitted manuscript against a journal's defined scope to support initial editorial screening.
It helps editors identify potentially out-of-scope manuscripts earlier, reducing manual screening effort and unnecessary progression to peer review.
No. It supports editorial assessment, while the final decision remains with the editorial team.
By identifying potentially unsuitable submissions before reviewer assignment, it can reduce unnecessary invitations, follow-ups, and reviews.
Kryoni JMS integrates Scope Check directly into pre-review screening, keeping manuscript evaluation connected with the wider editorial and peer-review workflow.
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