Operationalizing AI Across a GTM Team ft. Adrian Rosenkranz
The Revenue Lounge Podcast - Episode 98 ft. Adrian Rosenkranz, Chief Revenue Officer at Webflow Episode Summary - https://nektar.ai/operationalizing-ai... Episode Guest - / adrianrosenkranz Episode Host - / randy-likas-323241 Podcast Details: Podcast page - https://nektar.ai/podcasts/ Spotify - https://open.spotify.com/show/3DUOqnT... Google Podcasts - https://podcasts.google.com/u/0/searc... Apple Podcasts - https://podcasts.apple.com/in/podcast... Episode Details: Summary In this episode, Randy Likas interviews Adrian Rosenkranz, CRO at Webflow, on how revenue leaders can effectively harness AI, ensure governance, and maintain a competitive advantage in a rapidly evolving digital landscape. The discussion delves into practical use cases, the importance of shared knowledge systems, and the long-term vision for AI in go-to-market functions. Want to learn more about Nektar? Talk to our team - https://nektar.ai/book-a-demo/ Chapters 00:00 - Introduction and episode overview: operationalizing AI for better business outcomes 02:17 - Adrian's background and the role of AI in Webflow's strategy 03:06 - Balancing human judgment and system automation in AI adoption 04:25 - Practical example: AI automation for customer interactions and internal workflows 05:53 - Connecting and integrating diverse data systems for AI success 07:16 - Differentiating between organizational and individual ownership of workflows 08:24 - Creating shared, evolving knowledge bases for scalable AI use 10:57 - Governance frameworks as enablers of AI scale and accuracy 13:24 - Fundamentals for trustworthy AI: data integrity and connected systems 14:54 - Measuring success: leading and lagging metrics for AI impact 16:28 - Scaling internal AI applications: challenges with unstructured data 19:39 - Building core infrastructure: permissions, shared skills, and linked data sources 21:36 - The long-term moat: human relationships and unique company context 26:50 - Future trends: what revenue teams must understand about AI and human touch 28:43 - Personal reflection and closing thoughts on AI’s evolving role

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