Wiki Streamlining & Organisation
I deploy AI agents that bring order to knowledge bases that have grown chaotically over years -- auditing content, eliminating duplication, restructuring navigation, and building the cross-references that make information findable.
Finding and fixing the duplication problem
Most wikis contain far more redundant content than anyone realises. That redundancy actively harms usability.
When multiple versions of the same information exist, people lose confidence in all of them. Which one is current? Which one is complete? I build agents that crawl your entire knowledge base and identify not just exact duplicates, but semantically overlapping content -- pages that cover the same ground in different words, or partial duplicates where one page has information the other lacks. The agent recommends merges, archives, and redirects that reduce your wiki to its essential, authoritative content.
Semantic Similarity Detection
Beyond simple title matching, the agent uses embedding-based comparison to find pages that cover the same topics in different language. It identifies full duplicates, partial overlaps, and complementary pages that should be merged -- catching redundancy that keyword search would miss entirely.
Merge Recommendations
For each set of overlapping pages, the agent produces a specific recommendation: which page to keep as canonical, what unique content from other versions should be incorporated, and which pages should be archived or redirected. I configure these recommendations as actionable tasks your team can review and approve.
Orphan Page Detection
Pages that nothing links to are effectively invisible. The agent identifies orphaned content, assesses whether it's still valuable, and recommends either integration into the navigation structure or archival. This alone typically surfaces useful content that teams have forgotten exists.
Content Quality Scoring
Each page receives a quality score based on completeness, recency, formatting consistency, and usage patterns. This gives your team a prioritised list of pages that need attention -- starting with the high-traffic, low-quality pages where improvements will have the biggest impact.
Rebuilding the information architecture
Good content in a bad structure is nearly as useless as no content at all.
Wikis that grow organically end up with category structures that reflect the history of when pages were created, not how people actually look for information. I build agents that analyse your content, your team's search patterns, and your organisational structure to propose a taxonomy that makes sense now -- not one that made sense three years ago when the wiki was first set up.
Usage-Based Taxonomy Design
The agent analyses search logs, page access patterns, and navigation paths to understand how your team actually looks for information. It then proposes category structures optimised for real usage patterns, not theoretical information architecture. Categories that nobody navigates get restructured; common search paths get shortcuts.
Naming Convention Enforcement
Inconsistent page titles make wikis harder to browse and search. The agent audits all page names against your naming conventions (or proposes conventions if none exist), flags violations, and generates bulk-rename recommendations that bring consistency across the entire knowledge base.
Navigation Structure Optimisation
Sidebar menus, landing pages, and category indexes that have grown unwieldy get restructured based on content relationships and access frequency. The agent produces a proposed navigation hierarchy with clear rationale for each structural decision, ready for your team to review and approve.
Tag & Label Standardisation
Tags that have proliferated without governance -- misspellings, synonyms, overly specific labels -- get cleaned up systematically. The agent builds a controlled vocabulary, maps existing tags to standardised equivalents, and applies consistent labelling that makes filtering and discovery reliable.
Keeping it clean going forward
A wiki cleanup that doesn't include ongoing maintenance is just a temporary fix.
The real value isn't in a one-time cleanup -- it's in building agents that keep your wiki healthy over time. I deploy monitoring agents that continuously check for staleness, flag content that references deprecated tools or departed team members, identify new pages that need integration into the navigation structure, and ensure cross-references stay current as content evolves.
Stale Content Monitoring
Agents that continuously scan for pages referencing outdated information -- retired software, former team members, old office locations, expired policies. They flag items for review on a configurable schedule and can escalate to content owners when pages haven't been reviewed within their expected lifecycle.
Automated Cross-Referencing
As new pages are created, the agent identifies related existing content and suggests bidirectional links. It builds a connection map across your wiki, transforming isolated pages into a navigable knowledge graph where every topic links naturally to its related concepts.
Broken Link Detection & Repair
Links that point to moved, renamed, or deleted pages erode trust in your wiki. The agent continuously monitors for broken links, suggests corrections based on content matching, and can automatically create redirects for pages that have moved to new locations.
Content Ownership Tracking
Every page should have a clear owner responsible for keeping it current. The agent tracks ownership, identifies pages with no assigned owner or inactive owners, and prompts reassignment. This accountability structure is what makes long-term wiki health sustainable.
Ready to tame your wiki sprawl?
Tell me about your knowledge base and I'll outline what a cleanup and maintenance plan looks like.