Smart knowledge & transfer
The chatbot enables specialist users to find complex information immediately - without manual searching or lengthy reading. This turns knowledge into an active tool.
The specialist platform Kommune21 has been providing information on e-government trends, projects and solutions for over 20 years. To simplify access to content and optimize the relevance search, P&M worked with the editorial team to develop an AI chatbot that understands content semantically and provides precise answers in seconds.
The chatbot enables specialist users to find complex information immediately - without manual searching or lengthy reading. This turns knowledge into an active tool.
Automated analysis and intelligent queries save hours of research work every day. Editors and administrators can concentrate on content instead of searching.
The architecture of the chatbot is scalable, GDPR-compliant and expandable. New data sources can be easily integrated - the solution grows with demand.

Challenges
The aim was to develop an AI-supported search solution that captures the content of thousands of specialist articles, PDFs and studies, links them semantically and makes them accessible in a dialog-based manner - without changing existing systems.
The project involved analysing and structuring the existing information archive and optimizing it for AI applications. P&M supported the entire process, from data preparation to productive integration.
Together with the editorial team, the existing content landscape was examined and prioritized. P&M defined the relevant sources, subject areas and interfaces for the AI-based search. This created a clear basis for structure, data quality and subsequent scaling.
Unstructured PDFs and articles were automatically extracted, cleansed and standardized. This data preparation created a consistent knowledge base that can be semantically analyzed and provides the chatbot with reliable information.
After going live, P&M provides ongoing support - with monitoring, regular updates and continuous optimization of response quality through feedback loops.
Result

Cases

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