AI for the Fortune 2000: How Tenex Builds an AI-Native SDLC — Alex Lieberman & CJ Hess

Tenex functions as an AI-native partner for large enterprises, transitioning organizations from simple application usage to fully integrated AI workflows. The company utilizes a performance-based compensation model, rewarding engineers for output measured in story points rather than hours, which has driven a roughly 2x increase in productivity over the past year. While enterprises have widely adopted general-purpose LLMs, a significant "diffusion gap" remains in deploying agents for non-engineering production tasks. The firm emphasizes the necessity of standardizing internal processes before automation, as agents cannot effectively operate on undefined workflows. Despite current market trends, the team remains skeptical of vertical-specific AI solutions, arguing that frontier models and bespoke, one-of-a-kind software implementations provide greater long-term value. This approach prioritizes human agency and strategic reskilling, positioning AI as a tool for elevating employees to higher-level, complex problem-solving roles.