Raffle.ai
15 Case Studies
A Raffle.ai Case Study
Frederiksberg Kommune wanted to improve the digital experience for citizens by making it easier, faster, and more intuitive to find information and self-service options on its platforms. The municipality struggled with incomplete content, frustrating search experiences, and too many phone calls and emails to citizen services, while lacking the data needed to understand what users were searching for and where they were getting stuck. Frederiksberg Kommune worked with Raffle.ai to address these issues.
Raffle.ai implemented an intelligent search and AI interaction platform that crawls and chunks content, creates semantic embeddings, and delivers semantically relevant results, AI summaries, and chat-based assistance instead of just links. This gave Frederiksberg Kommune better insight into citizen search behavior, improved relevance and usability, and created a foundation for reducing service inquiries and improving resource allocation. The case study describes the early results as promising, though it does not provide specific quantitative impact metrics.
Lars Widing
Insurance Advisor