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Digital Information Assistant for IT Service and Operations

Distributed tickets, documentation, and system data form the basis for support, operations, and customer projects in IT organizations. INTERGATOR brings this information together across systems and provides context-based answers for specific questions.

When distributed information fails to deliver answers

IT and service organizations work with a wide range of specialized systems—from ticketing systems and documentation to monitoring and customer platforms. Relevant information exists, but bringing it together requires significant effort.

In day-to-day operations, this means that answers are not readily available—they must be pieced together and interpreted from individual sources under time pressure.

Information exists, but is not connected

Relevant content is spread across ticketing systems, documentation, wikis, and other tools—without cross-system context.

Context across systems is missing

Relationships between tickets, system states, customer information, and documentation remain unused and must be established manually.

Answers are created manually

Employees search, evaluate, and combine information themselves—often under time pressure and without full context.

Time loss in support and operations

Analysis, troubleshooting, and coordination are delayed, even though the necessary information is available within the organization.

A digital information assistant for IT service and operations

INTERGATOR brings together distributed information sources from IT service, operations, and customer context across systems and provides them as a centralized knowledge base.

On this foundation, context-based answers to specific questions are generated—not through manual research, but through the structured analysis of existing information.

The focus is not on searching for information, but on delivering reliable answers.

Cross-system analysis of service and operations data

INTERGATOR connects ticketing systems, documentation, monitoring, and customer systems, establishing relationships across system boundaries.

Context-based answers instead of isolated result lists

Information is not just retrieved, but evaluated within its context and delivered as direct answers.

AI-supported analysis for connecting information

AI supports the analysis and linking of distributed content—transparent, controllable, and embedded within existing systems.

From ticket to resolution—without manual research

INTERGATOR automatically connects relevant information and provides it in context—for faster analysis and well-founded decisions.
ACIS IT

Integration into existing IT and security architectures

INTERGATOR operates within your existing IT landscape and integrates with current systems, data sources, and security structures. Existing permissions remain fully intact, and access to information is controlled and traceable—without creating parallel data structures or external data storage.

Operation within your infrastructure

INTERGATOR can be deployed on-premises or in a private cloud—aligned with your IT and security requirements.

Use of existing permission structures

Access rights from connected systems are adopted and consistently enforced.

Integration instead of system disruption

Existing systems such as ticketing platforms, documentation, or customer systems are connected via interfaces—without replacement or migration.

Controlled use of AI

AI functions operate within defined boundaries and access only approved data.

Typical use cases in IT and service organizations

INTERGATOR supports IT and service organizations in making distributed information usable in concrete operational situations. Typical use cases arise wherever information from different systems needs to be combined and evaluated in context.

    INTERGATOR in Ihrer
    IT-Organisation einsetzen

    IT organizations work daily with tickets, documentation, and system data distributed across multiple platforms. Relevant knowledge exists—but is rarely available at the right moment.

    INTERGATOR brings this information together across systems and provides context-based answers—directly from existing tickets, logs, and documentation.

    In a guided demo, we show you using realistic scenarios how root causes can be identified faster, relationships understood, and solutions derived more efficiently.

    Together, we analyze your existing system landscape and identify concrete use cases for a digital information assistant in your IT service and operations.