Stop Paving the Cowpath: Why Agentic-First Is the Only Way to Build for the Enterprise

Enterprise AI initiatives fail not because models are weak, but because organizations automate legacy workflows instead of reimagining them. The author argues for an 'agentic-first' approach where AI systems pursue outcomes rather than follow predefined steps, with humans playing an active role in correcting, coaching, and aligning agents. Cultural barriers—not technical ones—are the main obstacle, as enterprises favor safe, incremental deployments over transformative redesigns. Founders building for the enterprise should design agentic systems from the ground up, embedding human oversight and governance rather than treating AI as an automation layer bolted onto existing processes.