AI-powered analysis of enterprise knowledge
INTERGATOR AI+ extends enterprise search with LLM-based analysis, summaries, and structured evaluation of enterprise documents.
Semantic search improves search results
– but does not replace content analysis.
Semantic search and AI-supported retrieval methods significantly improve the quality of search results. Relevant documents can be found more quickly, and relationships between pieces of information become easier to identify.
However, the real challenge often begins afterward.
Once documents are found, they still need to be analyzed, compared, and placed into a professional context. Especially with large document collections, this step remains time-consuming and often requires manual evaluation.
INTERGATOR therefore extends enterprise search with LLM-based analysis functions. Predefined LLM tasks enable structured analysis of document collections — directly from the search interface and without manual prompt creation.
LLM Tasks: Structured Analysis of Enterprise Knowledge
INTERGATOR extends enterprise search with integrated LLM-based analysis functions. Predefined LLM tasks enable structured analysis of document collections directly from the search interface.
Instead of manually formulating prompts, typical analysis tasks can be executed at the push of a button.
Content analysis of documents
LLM tasks analyze individual documents or entire result lists and identify key statements, relevant passages, or technical core insights. This makes it easier to understand and contextualize extensive content more quickly. Especially for technical documentation, contracts, or research materials, this significantly reduces manual analysis effort.
Comparison of multiple documents
Multiple documents or search results can be automatically compared and analyzed for relevant content. Differences, similarities, or alternative approaches are identified in a structured way. This enables faster evaluation of complex questions and supports well-informed decision-making.
Structured summaries
Extensive documents or result lists can be automatically summarized and reduced to their essential content. Key statements, central lines of argument, or technical aspects are presented in a concise form. This makes it easier to review and understand large volumes of information efficiently.
Automated analyses and reports
Analysis results can be structured and prepared for further steps. LLM tasks support the creation of evaluations, compilations of relevant content, or preliminary reports. This makes it easier to document and further process research results efficiently.
AI within your existing IT architecture
INTERGATOR integrates AI-based analysis functions into the existing enterprise search architecture. Access rights, data sources, and security structures remain fully preserved. LLM-based analyses are performed exclusively on the information that users are already authorized to access.
Where AI-powered analysis of enterprise knowledge provides the greatest value
LLM tasks help business units evaluate large volumes of information more quickly and analyze relevant content in a structured way. Significant efficiency gains can be achieved, especially in areas with extensive documentation and research requirements.
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The powerful enterprise search for precise keyword hits. Simple and efficient – ideal for quick access to relevant documents without AI components.
Intelligent enterprise search with AI: Through semantic search, INTERGATOR AI recognizes thematic relationships and delivers comprehensive results – perfect for complex queries.