Enterprise AI Adoption
Enterprise AI in healthcare is not just about algorithms - it is about governance, integration, and trust. Healthcare organizations adopt AI slowly because the stakes are high: patient safety, regulatory compliance, and clinical validation requirements create barriers that do not exist in other industries. Dr. Kurr helps HealthTech companies understand and navigate these barriers, developing go-to-market strategies that address enterprise buyers' concerns around governance, data privacy, and clinical validation. His experience building AI-enabled operations at Boehringer Ingelheim - within strict regulatory and compliance frameworks - provides the practical insight that HealthTech companies need to sell into pharma and healthcare organizations.
Platform Go-to-Market Strategy
HealthTech platforms face a classic chicken-and-egg problem: they need users to demonstrate value, but they need to demonstrate value to attract users. Dr. Kurr helps platform companies develop go-to-market strategies that break this cycle - identifying beachhead use cases, designing partnership-driven adoption models, and building the commercial organization needed to sell complex platform solutions to enterprise healthcare buyers. His experience with strategic partnerships and ecosystem design, grounded in his published research on cooperation management, is particularly relevant for platform businesses that depend on partner ecosystems for distribution and integration.
Regulatory Technology Strategy
RegTech in healthcare is an emerging category with enormous potential - automating compliance workflows, streamlining regulatory submissions, and enabling real-time pharmacovigilance monitoring. But selling regulatory technology to pharma and healthcare organizations requires deep understanding of their regulatory processes, compliance requirements, and risk tolerance. Dr. Kurr bridges this gap: his operational experience inside pharma organizations means he understands the buyer's perspective, while his advisory role allows him to help HealthTech companies position their products effectively. This includes regulatory strategy consulting, compliance framework design, and go-to-market planning specifically for RegTech solutions.
Health Data Analytics Operations
Health data analytics is only as good as the operational infrastructure behind it - data pipelines, governance frameworks, quality assurance processes, and the organizational capabilities to act on insights. Dr. Kurr helps HealthTech companies build the operational backbone that turns data analytics capabilities into sustainable commercial advantage. His experience building content supply chains and digital operations at Boehringer Ingelheim provides a transferable blueprint: the same principles of process standardization, quality management, and scalable delivery apply to health data analytics operations. His MIT Sloan executive education in digital business and his AI fellowship with the University of Tübingen provide the academic foundation for this work.