Case Study: DTU improves intranet self-service with Raffle.ai

Raffle Workplace Search revolutionizes DTUs Intranet and heavily increases self-service among students and lecturers

DTU, the Technical University of Denmark, needed a better way to help its 6,000 staff and 14,000 students find information across a SharePoint intranet containing more than 40,000 documents. Its existing search was inaccurate and time-consuming, which wasted productivity and drove too many support requests to student counselling and IT services. Raffle.ai was brought in to improve search and self-service.

Raffle.ai implemented an AI-powered search solution integrated into DTU’s SharePoint intranet, using natural language search and self-learning capabilities to improve relevance over time. The result was faster access to information, a better user experience, and significantly fewer support enquiries. DTU also reported that users saved an average of 4–7 hours per week thanks to Raffle.ai’s more accurate search results.

DTU

Kasper Antonsen

Head of Department