As the integration landscape evolves with the rise of AI, traditional methods of building integrations—relying on iPaaS tools, custom-coded connectors, and manual processes—are becoming insufficient to meet the demands of modern software ecosystems. Customers now expect seamless connectivity across a wide array of tools, necessitating a shift from rigid, single-use connectors to scalable, AI-driven integration systems. AI is transforming how integrations are developed by enabling dynamic adaptation to different schemas, debugging issues, and generating app-specific variants of core use cases. This requires a new architecture that separates business logic from app-specific implementations, supports runtime execution, and facilitates AI participation in the integration lifecycle. Membrane offers a universal layer that allows teams to manage and scale integrations efficiently, using AI to automate and optimize the integration process, thus reducing complexity and manual overhead. This approach not only enhances the flexibility and scalability of integration systems but also prepares organizations for future advancements where AI agents autonomously manage and adapt integrations.