What is enterprise AI search?
Enterprise AI search uses artificial intelligence to help employees find information and complete tasks across all company systems from a single search interface. Here's everything you need to know.
Enterprise AI search is a technology that connects to all of an organization's systems -- SharePoint, Workday, ServiceNow, Salesforce, email, chat, and more -- and provides a single search interface powered by artificial intelligence.
Unlike traditional enterprise search (which returns a list of documents ranked by keyword relevance), AI-powered enterprise search understands the meaning behind a query, generates direct answers from source material, and can complete tasks on behalf of the user.
The enterprise AI search market is valued at $6.8 billion in 2025 and growing at 10-25% annually. The explosive growth is driven by the proliferation of enterprise SaaS systems (the average enterprise uses 130+ SaaS applications) and the proven ROI of reducing employee search time.
Core components of enterprise AI search
Hybrid search engine
Combines vector search (semantic understanding of meaning) with keyword search (exact matching) to deliver precise results. A query for "parental leave" finds documents about "maternity policy" and "family medical leave" even if those exact words aren't used.
Large language model (LLM)
Generates direct answers from source documents instead of returning a list of links. The LLM reads the relevant documents and synthesizes a clear, cited answer.
Connector framework
Bridges the search engine to enterprise systems: SharePoint, Workday, ServiceNow, Salesforce, Jira, and more. Each connector indexes content and respects the source system's permissions.
Security trimming layer
Ensures search results respect existing access controls. If you can't see a document in SharePoint, you won't see it in search results. This happens at query time, not index time.
Action agents
Go beyond finding information to completing tasks. Intent detection identifies when a user wants to do something (submit an expense, reset a password) and triggers the appropriate workflow.
Analytics and insights
Tracks what people search for, what they can't find, and which sources provide the best answers. Reveals knowledge gaps and content opportunities across the organization.
The evolution of enterprise search
Keyword search
Basic keyword matching across file shares and intranets. Results ranked by keyword frequency. No understanding of meaning.
Federated search
Search across multiple systems from a single interface. Better than individual system search but still keyword-based with merged result lists.
Semantic search
Vector embeddings capture meaning, not just words. "What's our vacation policy?" finds documents about PTO, time off, and leave management.
AI-powered search
LLMs generate direct answers, understand intent, and complete tasks. Search becomes a conversation with an AI that knows your enterprise data.
Deployment models: SaaS vs. self-hosted
SaaS model
Vendors like Glean and GoSearch host the search infrastructure in their cloud. Your data is indexed on their servers. Pricing is per-user-per-month.
Tenant-deployed model
QueryNow deploys the entire search platform into your Azure subscription. Your data never leaves your environment. Pricing is a one-time deployment fee.
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See enterprise AI search in action
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