AI Whitepapers for Enterprise Knowledge
Organizations manage large volumes of information across documents, business applications, and systems. However, consistent access to this knowledge is often lacking for strategic decision-making—especially in the context of specific, current questions.
The whitepapers provide a structured overview of key considerations for deploying an AI-powered information assistant: from architecture and integration to governance and security, as well as practical enterprise use cases.
Whitepapers for Strategic Decision-Making
The following whitepapers are designed for business units, IT, and management teams looking to evaluate and implement AI in a structured and informed way.
They address common challenges such as accessing distributed information, integrating existing system landscapes, and ensuring the transparent and secure use of AI in an enterprise context.
The focus is not on isolated AI applications, but on a holistic approach: a digital information assistant that makes information available across systems and usable in context—without black-box behavior and aligned with existing IT and compliance requirements.
Self-Hosted AI in Industrial Environments
Operate AI securely—with full data control and predictable costs
This whitepaper explains why self-hosted AI is becoming increasingly important in industrial environments. Organizations retain full control over their data, meet compliance requirements, and benefit from predictable costs as well as seamless integration into existing systems.
4,70 MB
From Chat to Structured Reports
GenAI frameworks in practice – structured reports instead of unstructured AI responses
Free-form AI queries often produce inconsistent and difficult-to-use results. This whitepaper shows how organizations can use GenAI frameworks, prompt templates, and semantic search to automatically generate structured reports, reduce costs, and improve decision quality.
2,47 MB