Harvard Business Review LogoJuly 13, 2026HBR Staff/AIOrganizations have spent decades becoming more modular, breaking themselves into agile teams, business units, and platforms to improve flexibility and speed. But many are discovering a newFor more than two decades, modularity has been one of the dominant design principles for complex organizations. The logic is elegant: Decompose the firm into independent units with clear interfaces, and you gain flexibility, speed, and scalability. Many large companies today have taken this advice to heart. They run agile squads, operate platform architectures, and manage through decentralized business units.
AI Adoption Is Testing Modular Firms
Organizations have spent decades becoming more modular, breaking themselves into agile teams, business units, and platforms to improve flexibility and speed. But many are discovering a new constraint: They can decompose work far more easily than they can recombine it. As AI, ecosystems, and rapidly changing markets create constant opportunities to redeploy capabilities, organizations often find themselves slowed by governance hurdles, bespoke negotiations, and centralized decision making. Drawing on research across leading companies, the authors argue that competitive advantage now depends on composable integration—the ability to rapidly reconfigure existing capabilities. They outline four managerial priorities: treat recombination as a measurable capability, standardize governance as well as technical interfaces, build reusable enterprise-wide capabilities, and push integration authority closer to the front line. In the AI era, success will increasingly depend not on having the best components, but on recombining them faster than rivals.
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