AI in the company: use cases, chatbots, integration and rules
After the first experiments, many companies ask where AI brings lasting value and how to bring it safely into their workflows. The answer starts with their own processes, not with tools, and covers data, permissions, quality measurement and the duties under the EU AI Act.
This topic page brings our content together: the guide to introducing AI, glossary terms from RAG to KI-MIG, checklists for starting a project, offers from opportunity assessment to a chatbot on your own data, cost pages and decision guides.
Terms
Articles
Checklists
Offers
Decision guides
Products
- AI Risk CheckEU AI Act classification & compliance automation.
More topics
- Anti-money laundering compliance in Switzerland: AMLA, SRO, KYC and transparency register
- Public procurement in Switzerland: procedures, criteria and bids
- Cybersecurity for SMEs: reporting duties, baseline protection and incident planning
- AI regulation: EU AI Act, AI governance and the Swiss perspective
- Data protection under the Swiss FADP and GDPR: duties, processes and evidence
- Requirements and projects: requirements engineering, HERMES and acceptance
- App development: planning and building a web app, PWA or store app
- Compliance in the DACH region: which rules apply to your company
- Product compliance: Cyber Resilience Act, Machinery Regulation, product liability and Data Act
LM
Reviewed by
Founder & CEO · MSc Innovation Management (FFHS) · PMP · IREB CPRE · Author of “Identity Over Discipline”
Mandates incl. EDA, MeteoSwiss, FSO, SERI, FINMA, Swisscom and BLS