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OPERATIONS

Knowledge Base Analytics

Find what's missing, outdated, or duplicated across your knowledge ecosystem.

Internal knowledge bases, help centers, wikis, documentation sites, SOPs, and training materials grow rapidly, making it difficult to understand what is missing, outdated, duplicated, or difficult for employees and customers to find. Steeped AI transforms organizational knowledge into measurable intelligence by identifying documentation gaps, recurring search failures, overlapping content, product coverage, customer confusion, and emerging training needs.

Search nuanced concepts instead of exact keywords, measure which topics generate the most support demand, and uncover relationships between documentation quality, customer satisfaction, and operational efficiency. Organizations continuously improve their knowledge ecosystem using measurable evidence instead of assumptions.

Knowledge Gap Citations
1 41% of "search failures" hit "billing" topics
2 33% of "tickets" duplicated an "existing doc"
3 27% of "articles" were "outdated" (over 1yr)
4 24% of "how-to" pages had "no owner"
5 19% of "confusion" tied to "conflicting docs"
6 15% of "top queries" returned "no result"
7 9% of "SOPs" overlapped another "SOP"

Enterprise RAG & Custom Search

Use Steeped AI's enterprise search engines to search nuanced concepts across every doc, not exact keywords. Ask what people search for but never find, and get the failing queries and missing topics back with citations, so content investment targets real demand.

What do people search but not find?"How to change my billing cycle"141% of no-result queries are billing2Drives 22% of support tickets3

AI Topic Mapping

Use Steeped AI's AI topic mapping to quantify documentation gaps, search failures, and outdated content across the whole library. Measure which topics generate the most support demand, so writing effort targets the pages that actually reduce tickets.

documentation gapsearch failureoutdated content

Document Digitization

Use Steeped AI's document digitization to fold scanned SOPs, legacy PDFs, and training decks into the same searchable, structured knowledge layer as your wiki. Content stranded in old formats becomes analyzable, so coverage and duplication analysis sees the whole ecosystem.

LEGACY WIKISTRUCTURED FIELDSTitle: refundsOwner: noneUpdated: 2yrDuplicate: yes

Data Preparation

Use Steeped AI's data preparation to merge duplicate articles, unify tags, and link every doc to its product and owner. When the same answer lives in five half-updated pages, Steeped AI reconciles them first, so quality and coverage analysis runs on a clean library.

Merged duplicate articles covering the same topic
Tags "howto", "how-to" and "guide" were unified
Linked each article to its product and owner
Removed column "legacy_html" because 88% were blank
Flagged 1,400 pages not updated in over a year
generating new dataset
NEW DATA

The insights are already in your data.

Ask your data anything. Get real findings ranked by impact, with AI reports your team can present and share on the spot.