Identify content needing review
Prioritise potentially stale, contradictory or low-value articles.
Knowledge Base Intelligence
Make knowledge quality visible and manageable.
Knowledge repositories become less useful when owners cannot see outdated guidance, missing topics or duplicated articles. An AI-assisted review workflow brings together content signals, usage patterns and proposed updates for expert approval.
Potential business benefits
Speed up content preparation
Prepare drafts based on approved sources and recurring questions.
Improve self-service coverage
Find topics that generate searches but lack useful answers.
Illustrative impact - example only
Identify content needing review
- Articles in the repository
- 800
- Articles flagged by agreed review rules
- 25%
Illustrative calculation 800 x 25% = 200
In this hypothetical repository, 200 articles would become review candidates. Flagged does not mean objectively outdated - each candidate is checked by its owner.
Illustrative scenario, not a measured client result or guarantee. Actual outcomes depend on scope, data, controls and adoption.
What we would measure
Speed up content preparation
- Draft-preparation time
- Share of drafts approved after expert review
- Comparison with the current authoring process
Measurement approach only - not a measured client result or guarantee. Measures and baseline are agreed with you during discovery.
What we would measure
Improve self-service coverage
- Unanswered searches by topic
- Article use after publication
- First-contact resolution, only where it can be verified
Measurement approach only - not a measured client result or guarantee. Measures and baseline are agreed with you during discovery.
Typical applications
- Check article freshness
- Detect duplicate content
- Analyse knowledge gaps from search logs
- Suggest draft articles
- Run owner-based review queues
Potential extensions, scoped separately
- Drafts generated from resolved tickets
- Connections to ServiceNow KB, Confluence, SharePoint or Zendesk, subject to scope
How it works
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Scan and classify
Classify articles by topic, age and owner.
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Compare with usage
Match content against searches and tickets.
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Suggest updates
Propose corrections and drafts with their sources.
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Review and publish
Owners approve changes before publication.
Designed to work within your controls
Integration & permissions
Connect to approved repositories with existing content permissions.
Owner review
Nothing is published without owner approval; quality scoring is a decision aid, not proof of correctness.
Monitoring & handover
Configurable freshness signals and links to underlying sources for every suggestion.
Give your knowledge base an accountable maintenance process.
Start with one repository and its highest-volume questions. In a 30-minute discussion we look at how it could work in your environment.
