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AI-powered analysis
and assistance for enterprise knowledge

INTERGATOR extends enterprise search with generative AI. Employees can not only search documents but also analyze content, generate summaries, and perform structured tasks automatically.
  • Analysis and evaluation of enterprise documents with generative AI
  • Predefined AI analysis functions instead of complex prompts
  • Conversational access to enterprise knowledge
  • Integration into existing enterprise architectures
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Finding enterprise knowledge is only the first step

In many organizations, information exists but is difficult to use.
Documents are stored in different systems, contain large amounts of information, and often need to be analyzed manually.

Traditional enterprise search provides result lists. Generative AI – for example based on modern GPT models – opens new possibilities to analyze content directly and evaluate it in a structured way.

Large volumes of documents

Technical documentation, contracts, reports, or project documents often contain hundreds of pages. Identifying the relevant information takes time and requires expertise.

Information is distributed across systems

Enterprise knowledge is stored in document management systems, file servers, wikis, ticketing systems, or emails. Bringing this information together is often complex and time-consuming.

Manual analysis processes

Many tasks are repetitive:
  • Summarizing documents
  • Comparing content
  • Extracting information
  • Creating reports
This work is often done manually—even though it can be automated with AI.

The digital information assistant for enterprise knowledge

INTERGATOR combines enterprise search with generative AI and extends traditional search with intelligent analysis and assistance functions. Information is not only found but can also be analyzed, summarized, and used directly for specific tasks. Modern AI models are applied in a targeted way within the existing enterprise architecture.

AI tasks by example

This page describes how INTERGATOR combines enterprise search with generative AI to make enterprise knowledge not only searchable but also analyzable. The platform enables conversational access to documents and data sources within the existing IT architecture. In addition to traditional search, INTERGATOR supports AI-powered analysis tasks such as summarizing documents, comparing content, or extracting relevant information in a structured way. Typical use cases include technical documentation, contract analysis, project knowledge, as well as service and support processes. Access to enterprise data remains controlled, as existing permissions are preserved and the system can be operated within the organization’s own infrastructure.
The page presents the following key aspects of the solution:
  • Enterprise search as the foundation: INTERGATOR retrieves information from various enterprise systems and makes it searchable across systems.
  • Generative AI for document analysis: content can be automatically summarized, compared, or evaluated for specific questions.
  • Conversational access to enterprise knowledge: users can access information through natural language.
  • Typical use cases: technical documentation, contracts and compliance, project knowledge, as well as service and support information.
  • Integration into existing IT architectures: existing systems and data sources can be connected.
  • Preservation of existing access rights: users only see content they are authorized to access in the respective source system.
  • Flexible deployment models: operation on-premises, in private cloud environments, or with external AI models.

Conversational access to enterprise knowledge

The integrated chat enables intuitive access to enterprise information.
Employees can ask questions in natural language and receive answers based on existing documents and data sources.

The AI uses the information repositories indexed by INTERGATOR and can summarize or explain content in context.

AI-powered analysis functions

Many tasks in daily knowledge work are repetitive. INTERGATOR provides predefined AI functions that allow typical analysis tasks to be executed directly, for example:
  • Summarizing documents
  • Comparing content
  • Extracting relevant information
  • Generating reports
These functions use generative AI and GPT technology without requiring users to formulate complex prompts.

Context-aware AI assistance

The AI analyzes the intent of a request and can combine different functions to provide a well-founded answer. Depending on the question, the assistant can, for example:
  • Search documents
  • Analyze content
  • Combine information from multiple sources
This creates an intelligent assistance process that makes enterprise knowledge structured and usable.

Typical use cases for
AI-powered knowledge work

INTERGATOR helps business units not only find information faster but also evaluate it in a targeted way. This is particularly valuable where large document repositories, distributed information sources, and recurring analysis tasks come together.

Technical documentation and engineering

Technical specifications, project documentation, maintenance documents, or engineering information are often distributed across many systems. INTERGATOR helps identify relevant content more quickly, summarize it, and evaluate it for specific questions.

Contracts, policies, and compliance

Contracts, internal policies, or regulatory documents often contain extensive information that can only be evaluated manually with significant effort. AI-powered analysis functions help identify relevant passages, compare content, and structure information for further use.

Project knowledge and knowledge retention

In project-oriented organizations, knowledge accumulates over the years in reports, documentation, emails, and communications. INTERGATOR makes this knowledge accessible and helps make it usable more quickly for new questions, follow-up projects, or decisions.

Service, support, and expert assistance

When information is distributed across tickets, manuals, product documentation, or knowledge bases, INTERGATOR supports faster research and analysis. Employees gain conversational access to relevant knowledge and can prepare more informed responses.

AI-powered knowledge work within your IT architecture

INTERGATOR integrates generative AI into existing IT and security architectures in a targeted way. Enterprise data remains within the controlled system landscape and is processed only within the framework of existing access rights. The platform combines enterprise search with modern AI models and provides these functions as integrated analysis and assistance tools within the existing information landscape.

On-premises or private cloud

INTERGATOR can be operated entirely within your own infrastructure. Enterprise data remains within the controlled system landscape. Even when using generative AI, organizations retain full control over data, indexes, and system architecture.

Integration of existing systems

INTERGATOR connects different information sources within the existing IT landscape. Document management systems, file servers, business applications, or project platforms can be integrated through standardized interfaces. This creates a unified search and analysis foundation across system boundaries.

Preservation of existing access rights

Access rights from connected systems are fully preserved. Users only see content they are authorized to access in the respective source systems. This ensures that access to enterprise knowledge remains consistent and transparent.

Scalable index architecture

INTERGATOR is designed for large and historically grown information repositories. Even extensive document archives and distributed information sources can be indexed and searched efficiently. The platform therefore provides the foundation for a scalable knowledge infrastructure.

Contact us

    Experience INTERGATOR in practice

    Experience in a guided demo how INTERGATOR combines enterprise search and generative AI to analyze enterprise knowledge in a structured way.

    In the demo, we show among other things:

    • Conversational search across enterprise documents

    • Automatic summarization of extensive documents

    • AI-powered analysis of information from multiple sources

    • Integration into existing enterprise systems

    Ask for a demo