
How can AI help in everyday working life? How an AI assistant supports companies
AI assistant in everyday working life: technical classification
An AI assistant in a corporate context is based on large language models and acts as an intelligent interaction layer on top of existing IT systems. The AI assistant processes natural language, analyses structured and unstructured data and provides context-related answers in real time. Unlike traditional search solutions, a modern AI assistant combines semantic search, contextual understanding and automated processing steps in a centralised platform.
Integration into the existing system landscape is essential. The assistant can retrieve, link and utilise relevant information via interfaces to DMS, CRM, ERP, ticket or knowledge management systems - without externalising data from the company context. This makes AI a secure and controlled extension of the IT architecture in everyday working life.
Increased efficiency through automated knowledge work
A key added value of an AI assistant in day-to-day work lies in the automation of knowledge-intensive routine activities. These include, among others:
- Searching and summarising extensive documents
- Extracting relevant content from guidelines, contracts or technical documentation
- Preparing information for different target groups
- Answering recurring technical or organisational questions
The AI assistant thus reduces manual work steps, lowers the susceptibility to errors and speeds up decision-making processes. Results are not only provided more quickly, but also more consistently.
Centralised knowledge management with AI
Traditional knowledge management often fails when it comes to maintaining, updating and finding content. An AI assistant in everyday working life fundamentally changes this approach. Instead of manually structuring information, the assistant dynamically accesses existing content and makes it available depending on the context. Sources are referenced transparently, creating traceability and trust in the results.
This makes knowledge management with AI cross-system, scalable and equally accessible to all employees for the first time - regardless of the tool or format in which information was originally stored.
Support throughout the entire working day
An AI assistant does not work in isolation, but along entire work processes. In IT, it provides support with ticket classification, problem analysis and documentation. In customer service, it provides context for enquiries, suggests answers and summarises processes. Specialist departments such as sales, marketing or controlling benefit from research, draft texts, analyses and structured decision templates. AI also supports management in their day-to-day work with automated reports, status overviews and summarised decision bases.
Conclusion: An AI assistant in day-to-day work is not a replacement for specialist knowledge, but a technical enabler for more efficient work. It connects systems, reduces manual knowledge work and makes information available in seconds. Companies that make targeted use of AI in their day-to-day work create a productive knowledge layer on top of their existing IT landscape - and thus lay the foundation for faster processes, more informed decisions and sustainably higher efficiency throughout the entire company.