AI-driven integration platform and user-adaptive interface for business relationship orchestration

A system comprising:

• an integration platform comprising one or more servers, the one or more servers comprising one or more processors, a memory and computer-readable instructions that, when executed by the one or more processors, cause the integration platform to:
• generate in interactive graphical user interface (GUI) comprising a selectable AI-driven chat-bot resource configured to provide a conversational message-based dialogue that processes user input and returns with a user-specific response,
• the interactive GUI simultaneously displaying one or more regions, each associated with a combination of one or more services of the integration platform, one or more internal resources of the integration platform, and one or more external resources from among one or more third-party computing systems,
• the one or more services comprising a combination of single sign-on (SSO) services and application program interface (API) services, and
• the one or more external resources comprising a combination of cloud-based services, communication services, scheduling services for groups of users, document services, knowledge-based services, and artificial-intelligence (AI) modeling services;
• receive, over a communications network, input from a user device via the interactive GUI, said input comprising a selection of at least one among the one or more services, the one or more internal resources and the one or more external resources;
• responsive to receiving the input, provide access, to the user device via the interactive GUI, to the at least one among the one or more services, the one or more internal resources and the one or more external resources associated with the selection;
• monitor and capture interaction data associated with activity between the user device and the integration platform;
• execute one or more machine learning models, based on the interaction data, to predict user-specific interaction tendencies;
• and
• revise one or more aspects of interactive GUI based on the predicted user-specific interaction tendencies.