CKEditor AI: Review

Automated Content Quality Checks for Editor Teams

AI Review is an AI proofreading tool built directly into CKEditor. Review every suggestion inline and accept or reject changes individually or all at once. No tab-switching. No copy-paste. No context loss.

AI Review is an automated content QA feature that runs AI-powered quality checks on your documents directly inside the editor.

What Is AI Review?

AI Review is an automated content QA feature that runs AI-powered quality checks on your documents directly inside the editor.

You trigger it deliberately. It runs five built-in checks – Proofread, Improve Clarity, Improve Readability, Adjust Length, and Adjust Tone and Style – plus any custom commands you define. Every issue it finds comes back as an inline suggestion, shown through a familiar track-changes interface. A structured, reviewable quality pass – on your schedule, inside your workflow, with full human editorial control.

How AI Review Works
in CKEditor

CKEditor AI Review analyzes your entire document on demand and surfaces every issue as an inline track change. You trigger it when you're ready, review suggestions one at a time or accept them all at once, and the editor preserves full rich-text formatting through every change.

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Customer Support Metrics Report

Operational Summary – Second Half of 2025

Overview

This report summarizes customer support performance during the second half of 2025. It focuses on ticket volumes, response efficiency and common issue categories, based on internal operational data across all support channels.

The information below should be treated as an overview of observed trends rather than a detailed performance evaluation.

Support Process Overview

The diagram outlines our internal customer support process, showing how incoming requests are handled across multiple support tiers based on complexity.

Customer inquiries are initially managed by Tier 1: Frontline Support, which is responsible for triage and resolution of common issues. More complex cases are escalated to Tier 2: Technical Support, where deeper technical investigation is performed.

High-impact or unresolved issues are handled by Tier 3: Escalation Team, which coordinates with internal experts as required. Specialist Teams support Tier 2 and Tier 3 by providing domain-specific expertise, while typically remaining non-customer-facing.

The process is designed to allow flexible movement between tiers, supporting efficient resolution and appropriate escalation when needed.

Internal support workflow
Figure 1. Internal support workflow across frontline, technical and escalation teams.

Ticket Volume

During the reporting period, the support team processed 184,600 tickets, representing an increase of 11% compared to the previous period. Ticket volume peaked in September and gradually stabilized towards the end of the year.

The increase was primarily driven by onboarding-related questions and product configuration requests.

Channel Distribution

Channel Share of Tickets Change vs. Previous Period Avg. First Response Time
Email 54% -3% 3.1 hours
Live Chat 31% +5% 1.2 hours
In-App Support 15% -2% 2.4 hours

Email remained the dominant support channel, although live chat usage continued to increase, particularly among larger accounts.

Resolution Efficiency

Average response and resolution times showed minor improvement compared to earlier in the year.

  • Average first response time: 2.4 hours
  • Average resolution time: 18.7 hours
  • Tickets resolved within 24 hours: 68%

More complex cases, especially those related to integrations, required additional follow-up and were not consistently resolved within standard timeframes. While faster response times were generally appreciated, qualitative feedback indicates that communication consistency played an equally important role in overall customer perception.

"Faster responses were helpful, but consistency in follow-up communication had a bigger impact on our overall experience."

— Enterprise customer, post-resolution survey

Common Issue Categories

The most frequently reported issues were:

  1. Account access and authentication
  2. Billing and invoice related questions
  3. Feature usage clarification
  4. Integration setup
  5. Performance-related concerns

Billing-related requests declined slightly, while integration-related inquiries increased towards the end of the period.

Customer Satisfaction

Customer satisfaction was measured through post-resolution surveys. The overall response rate remained stable throughout the reporting period.

  • Average CSAT score: 4.2 / 5
  • Survey response rate: 27%

Feedback most often referenced response time and clarity of follow-up communication as areas for improvement, particularly in cases involving multiple handovers or escalations.

Identified Bottlenecks

Internal review identified several operational areas that may require further attention:

  • Delays in ticket reassignment for escalated cases
  • Inconsistent categorization of incoming requests
  • Limited coverage during selected regional peak hours

While these issues did not materially impact aggregate performance metrics, they were visible in individual case handling and customer feedback.

"The issue was eventually resolved, although it was not always clear who was responsible for the case during escalation."

— Key account feedback, quarterly review

Summary

Overall support performance remained within expected operational ranges. Most key indicators were stable, with moderate improvements observed in response efficiency. At the same time, the data suggests that further improvements in communication clarity and escalation handling could positively impact customer experience in future reporting periods.

Better in Fullscreen

Open the demo in fullscreen to comfortably explore the editor and its features.

Note

Check the source code for this demo.

What CKEditor AI Review Checks

AI Review ships with five built-in check types. Run them individually
or combine them in a single review session.

Proofread

Checks the text for errors in grammar, spelling, and punctuation.

Improve Clarity

Improves the logical structure and precision of the text for a clearer message. Ambiguous, circular, or poorly sequenced content gets flagged and rewritten – same voice, sharper delivery.

Improve Readability

Adjusts sentence structure and word choice for an easier read. Long, dense passages get reshaped for comprehension without altering the meaning.

Adjust Length

Shortens or lengthens text as needed. Based on your choice, AI Review reshapes the content accordingly.

Adjust Tone and Style

Modifies the text to a desired tone and style. Choose from five presets: Casual, Direct, Friendly, Confident, or Professional. Useful for aligning drafts or adapting content for different audiences.

Custom Commands

Run a one-off review with a custom prompt, when the built-in reviews aren't enough. Type what you want checked, and the results come back in the same inline suggestion format as the built-in ones. Best for ad-hoc checks you don't need to save.

How to Accept, Reject, and Apply
AI Review Suggestions

Every change AI Review makes, appears as a suggestion. Suggestions use the same UI as the Track Change feature CKEditor has for collaborative editing.

To review suggestions individually:

  • Click any highlighted suggestion to expand it to see exact details of what has changed, or go through all the listed changes in the AI Review sidebar
  • Accept the change to apply it, or reject it to leave the original text

To process suggestions
in bulk:

  • Use "Accept all" in the AI Review sidebar to apply every suggestion at once – useful when the review is comprehensive
  • Use "Reject all" to dismiss every suggestion – useful when you want to start fresh or the check wasn't applicable

RBAC controls let your engineering team decide which users or roles can trigger AI
Review – so you can reserve it for editors, reviewers, or specific workflow stages.

Benefits for Content Teams

Quality at Scale

AI Review brings automated content QA to every document, every time. As document volume grows – across products, markets, and contributors – errors multiply and review cycles get longer. Manual proofreading doesn't scale.

  • Catch grammar, style, and compliance issues before content ships
  • Run consistent checks across every contributor, regardless of individual writing skill
  • Reduce the back-and-forth between writers and editors
  • Enforce brand and compliance standards

Fewer Review Cycles

Review cycles are expensive. Every round of revisions adds time, introduces rework, and delays publishing. AI Review cuts that down by surfacing the most common issues during the drafting stage – before the document ever reaches a reviewer.

Teams using AI Review can expect:

  • Fewer structural revision requests from editors
  • Less time spent on mechanical corrections
  • Faster sign-off on content that meets quality standards on the first review

Benefits for Engineers

Configurable Rules, No Custom Tooling

AI Review is built to be configured. Engineers can define custom check prompts in the CKEditor AI configuration – no external tooling, no separate API integration, no custom UI to build.

  • Add domain-specific check prompts via configuration
  • Control which users can trigger reviews via RBAC
  • Connect to the LLM provider your organization already uses: OpenAI, Anthropic, Google Gemini or a custom one

On-Premises Available

If your organization requires full control over data processing, AI Review is available on-premises. Content never leaves your infrastructure. The same feature, the same configuration options, on your stack.

Why CKEditor AI Review vs.
Standalone Proofreading Tools?

Standalone proofreading tools solve part of the problem. They live outside the editor, require copy-paste workflows,
browser integrations, and can't enforce your custom rules or integrate with your content management flow.

CKEditor AI Review is different:

Why CKEditor AI Review vs. Standalone Proofreading Tools? feature comparison: CKEditor AI Review vs. Standalone tools

CKEditor AI Review

Standalone tools

Runs inside the editorAvailable in CKEditor AI ReviewNot available in Standalone toolsRequires copy-paste
Custom check promptsAvailable in CKEditor AI ReviewRarely
Bulk accept/rejectAvailable in CKEditor AI ReviewVaries
Track-changes UIAvailable in CKEditor AI ReviewNot available in Standalone tools
Large document supportAvailable in CKEditor AI ReviewOften degrades
On-premises availableAvailable in CKEditor AI ReviewRarely
RBAC and access controlAvailable in CKEditor AI ReviewNot available in Standalone tools
LLM-agnosticAvailable in CKEditor AI ReviewOpenAI, Anthropic, Gemini, and custom LLMsNot available in Standalone toolsVendor-locked

AI Review also works alongside other CKEditor AI features such as AI Chat, AI Translate and AI Quick Actions – so your team has a full suite of AI writing tools in one editor, not a collection of disconnected apps.

AI Review is on-demand and comprehensive. Writers trigger it when they're ready, see all suggestions at once, and decide what to apply. That's a fundamentally different workflow from real-time correction, and it's designed for the realities of long-form, professional content production.

Frequently Asked Questions

Find answers to the most common questions about our features, data security, and integration options. If you need further assistance, our team is here to help.

What is CKEditor AI Review?URL Copied

AI Review is an on-demand content quality feature built into CKEditor. It runs AI-powered checks for grammar, spelling, style, tone, and custom rules directly inside the editor and surfaces all suggestions as inline track changes – so you can review, accept, or reject them before applying anything.

How is AI Review different from a spell-checker?URL Copied

A spell-checker flags individual words as you type. AI Review is a full-document, on-demand quality pass. It checks grammar, spelling, style, tone, clarity, and any custom rules you define – all at once, across the entire document – and delivers every suggestion through a single, reviewable interface.

Can I create custom review checks?URL Copied

Yes. You can define custom check prompts to enforce domain-specific rules such as legal formatting, academic style, brand voice requirements, or compliance language. Each custom check runs alongside the built-in checks and surfaces suggestions through the same inline interface.

Does CKEditor AI Review work on large documents?URL Copied

Yes. AI Review is designed specifically for long-form content. It chunks large documents and processes them in parallel across multiple LLM calls, so documents 50+ pages long run without significant UX degradation.

How do I accept or reject CKEditor AI Review suggestions?URL Copied

Every suggestion appears inline as a track change. You can accept or reject changes one at a time – reading the detailed feedback for each – or use bulk accept/reject to apply or dismiss all suggestions at once.

Is CKEditor AI Review available on-premises?URL Copied

Yes. AI Review is available both as a cloud service and as an on-premises deployment, giving your team full control over where content and AI processing happen.

Start Running AI-Powered
Content Checks Today

Try it free for 14 days

AI Review is part of every CKEditor plan. Try it free for 14 days – no commitment required.

Already building?

Read the docs to configure AI Review for your integration.

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