Data & Knowledge Intelligence

Internal Search Systems

When people recreate work that already exists because finding it costs more than redoing it.

Search across internal tools and repositories, scoped to each user's access, so people can find what exists instead of producing it again. The duplicated effort is usually invisible in any system, which is why the problem persists.

Coverage matters more than sophistication here: a good ranking over half the corpus is worse than adequate ranking over all of it.

What the work includes

  • Connectors across the tools where work actually accumulates
  • Per-user access scoping applied consistently across sources
  • Ranking tuned against real internal queries
  • Coverage reporting so gaps are known rather than assumed away
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Related services

Semantic Search

When people cannot find material because they do not know the exact words the author used, which is most of the time.

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Enterprise Knowledge Base

When the answer to most internal questions exists but is scattered across tools, and the people who know where to look are a bottleneck.

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Knowledge Assistant Development

When the answer to most internal questions already exists somewhere, and the cost is finding it rather than producing it.

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Data Integration

Almost always, and usually earlier than expected — connecting the systems that hold the data is normally more of the work than the AI itself.

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// Common Questions

Questions
About This

Common questions about Internal Search Systems.

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Search finds the material and hands it over; an assistant reads it and answers. Search is right when people know what they are looking for and need to reach it, which covers a great deal of internal work.

Because finding it costs more than redoing it. That calculation is usually correct from the individual's point of view and expensive from the organization's, and it is what internal search is meant to change.

Wherever work actually accumulates — document stores, wikis, ticketing, code, chat history where decisions were made. Indexing only the official repositories tends to miss the material people are actually looking for.

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