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Closed-loop integration is a method of creating and managing application programming interfaces (APIs) in which a company’s real-time and historical operational data is used to improve future integrations and refine existing ones. Closed-loop integration generally requires an integration platform equipped with artificial intelligence (AI) and machine learning capabilities. The AI gathers data from previous and current application integrations, analyzes that data and uses the results of the analysis to make informed recommendations for creating new integrations, optimizing existing integrations, testing APIs for maximum security and more. In this way, closed-loop integration grants enterprise teams increased operational visibility into the whole ecosystem of application integrations. As a result, teams can get integrations up and running in less time, and they can consistently adjust integrations to ensure continued optimal performance.