AI workplace search software and digital workplace search that give the whole company one search box

InSearch is AI workplace search that puts one search box over everything. Ask a question and it searches across Drive, Slack, Notion, Confluence, Gmail, Jira and Salesforce together, then returns a written answer with citations to the exact sources. It is permission-aware, so each person only ever gets answers from content they can already access, and it is grounded strictly in your company's knowledge.

The terms move around, so it is worth pinning them down. AI workplace search, AI powered workplace search and digital workplace search all describe the same thing: one search layer across the tools people actually work in, with a language model writing the answer instead of handing back a ranked list. The AI part is not the retrieval, which search engines have done well for decades. It is that the system reads what it retrieved and tells you the answer, with links to where it came from.

Workplace search is the category name for search that spans the tools employees work in, rather than search that lives inside any one of them. The distinction matters when you are comparing products. Intranet search covers the intranet. SharePoint search covers SharePoint. Workplace search is the layer above all of them, and the test of whether a product belongs in the category is simple: can one query reach content in a Google Doc, a Slack thread and a Jira ticket at the same time, and can it tell you which one the answer came from.

The reason app-native search cannot solve this is structural rather than a quality problem. Each tool indexes only its own content and ranks by its own signals, so ten good search boxes still produce ten partial answers. Worse, the person searching has to guess correctly which tool holds the answer before they can search at all, which is precisely the knowledge a new hire does not have. Institutional memory ends up distributed across systems that cannot see each other: the decision in a doc, the argument behind it in a thread, the exception to it in an email.

A lot of people searching for workplace search right now are looking for a replacement rather than a first purchase. Elastic announced the retirement of Workplace Search on April 15, 2025 and removed it in version 9.0, with end of maintenance set for January 15, 2027 and end of support for July 15, 2027. Elastic's own documentation still ranks for the term, which sends teams to a product they can no longer adopt. If that is why you are here, the practical question is whether you want to rebuild retrieval on search infrastructure you operate yourself, or buy a managed layer that connects to your apps and returns answers rather than result lists.

Two things decide whether a workplace search rollout survives contact with a real company. The first is citations. An answer with no source is not actionable, because anyone acting on a policy or a number has to verify it anyway, so the search box gets abandoned in favor of asking a colleague. The second is permissions. A system that reads across everything inherits every access rule you have, including the messy ones. InSearch enforces item-level permissions from each source live at query time, so a revoked access takes effect on the next query rather than at the next scheduled sync, and nobody is served a sentence from a document they could not open.

Workplace search is the company-wide face of the same index behind enterprise search software. If your tools are spread across suites, unified search explains how one query spans them, and the Elastic Workplace Search end-of-life migration is worth reading if you are moving off a retired product. Shortlisting vendors instead? Sixteen enterprise search tools are compared on coverage, citations and price. Companies whose questions start on a SharePoint or Viva intranet and then run past it should read intranet search engine, which covers AI intranet search and where its boundary sits. If what you are actually shopping for is the product rather than the capability, the four ways to get an internal company search engine are compared side by side.