While many organizations are increasingly aware of the potential of artificial intelligence (AI), they often face difficulties in initiating concrete projects. A frequent challenge lies in identifying and reaching out to suitable AI implementation partners. This paper presents a structured, metadata-driven approach to facilitate that process. We develop a searchable repository of AI solution providers operating in Germany, designed to support organizations in finding relevant partners based on problem characteristics. Our core contribution lies in enabling more targeted, transparent, and effective collaboration between problem owners and solution providers. The proposed approach is evaluated through an exploratory case study. Our findings suggest that structured matchmaking mechanisms can substantially accelerate AI adoption and improve the quality of inter-organizational collaboration in digital innovation contexts.