Companies often already have a wealth of valuable documents that are suitable as a basis for using AI. They contain specialist knowledge, describe products and services, or define internal standards and processes. In many cases, this knowledge does not need to be created from scratch, but merely used systematically.
Documents that are regularly maintained, reviewed by subject-matter experts and used as a reliable source of information in day-to-day business are particularly valuable. They help to create content consistently and sustainably improve the quality of AI results.
Examples of particularly suitable documents include:
- Product and service descriptions: Provide knowledge about products, features and areas of application.
- Technical documentation: Contains detailed information about processes, procedures and technical interrelationships.
- Marketing and sales materials: Describe the company’s language, target audiences and brand communication.
- Company policies: Define internal requirements, quality standards and working methods.
- Training and knowledge documents: Record experience, best practices and internal know-how.
What should companies consider?
Not every document is equally suitable as a source of knowledge. Outdated, contradictory or incomplete content can affect the quality of the results. It is therefore advisable to review documents regularly and use only approved and up-to-date information as a basis.
✅ In brief:
Well-maintained company documents are among the most important sources of knowledge for AI. The more up to date and reliable the content, the better it can contribute to creating consistent, high-quality results.