This chapter examines the use of artificial intelligence (AI) in asylum-related assessment processes in Germany, focusing on the interaction between research, policy, and frontline administration. Germany has a well-established framework for integrating scientific expertise into policymaking, yet the dissemination of findings to practitioners, particularly public administrators, remains underdeveloped. Drawing on insights from the AI FORA project, the chapter reports on an interactive policy workshop with policymakers, migration experts, and refugee council representatives. Key themes discussed during the workshop include fairness, efficiency, and data quality in asylum-related assessment processes, alongside concerns about power asymmetries and fragmented governance. While participants saw potential in AI for reducing bureaucracy, facilitating translations, and supporting labour market integration, they cautioned that its use could intensify existing challenges related to justice and equity, highlighting the need for careful oversight. The chapter argues that “better AI” must go hand in hand with “better governance”, requiring legal safeguards, inclusive participation, and stronger refugee agency. The participatory dissemination approach adopted here demonstrates how collaborative engagement could enhance policy relevance, point out ethical dilemmas, and guide future frameworks for responsible AI use in sensitive contexts such as asylum governance.