The a16z Podcast episode discusses the shift in AI from standalone tools to an orchestration layer within enterprises, featuring four perspectives on the changes that occur when AI manages workflows. Seema Amble highlights the need for organizations to extract tacit knowledge and create coordinated multi-agent systems. Angela Strange focuses on the financial services and insurance industries, arguing for the replacement of legacy systems with AI-native platforms to unify data and parallelize workflows. Alex Immerman describes the evolution of vertical AI into a multiplayer mode where humans and agents collaborate with trust rules and command center interfaces. David Haber emphasizes that the most successful AI systems will be those that reinforce business models and drive revenue, building defensibility through workflow ownership and proprietary data. The episode emphasizes that this enterprise orchestration layer represents a new way for workflows within a company, rather than just being a chatbot or feature.
Sign in to continue reading, translating and more.
Continue
