Dialpad, an AI-powered communications intelligence platform, sought to overcome integration challenges by developing a system that improved configurability and scalability for its vast array of customer requests. Faced with the need to support 38+ integration requests and reduce the time taken to build native integrations, Dialpad embraced an AI-first architecture to enable rapid, agentic integrations. This shift was driven by their agentic AI initiative, which required a platform capable of dynamic orchestration by AI agents. After evaluating multiple vendors, Dialpad chose Membrane for its ability to handle multi-tenant architectures, provide MCP-native capabilities, and allow per-customer configurability. This choice facilitated the creation of more agentic integrations than traditional workflows, significantly reducing integration timelines from two months to two weeks. Membrane's design supports the vision of self-integrating applications, where AI agents can autonomously construct and maintain integrations in real-time, aligning with Dialpad's goal of a frictionless, on-demand integration system.