AI-driven adaptive systems intelligence for enterprise it environments

A system comprising one or more processing devices and one or more non-transitory storage devices for storing instructions, wherein execution of the instructions by the one or more processing devices causes the one or more processing devices to perform functions comprising:

• providing an adaptive systems intelligence (ASI) platform that is integrated with an enterprise information technology (IT) environment comprising a plurality of architecture layers and a plurality of enterprise services;
• continuously ingesting, by a multi-layer metadata hub of the ASI platform, source metadata independently generated and maintained by a plurality of distinct source systems across the plurality of architecture layers and the plurality of enterprise services, wherein the multi-laver metadata hub receives and consolidates the source metadata from the plurality of distinct source systems into a unified repository that provides cross-domain visibility for downstream deployment operations;
• receiving a request for implementing one or more target changes within the enterprise IT environment, the one or more target changes corresponding to one or more of:
• integrating of a new service in the enterprise IT environment;
• updating, modifying, or replacing an existing service in the enterprise IT environment;
• configuring or reconfiguring security settings in the enterprise IT environment;
• configuring or reconfiguring access control permissions or settings in the enterprise IT environment;
• migrating, configuring or reconfiguring data schemas and/or data management systems in the enterprise IT environment;
• configuring or reconfiguring infrastructure resource allocations in the enterprise IT environment;
• or configuring or reconfiguring one or more governance policies in the enterprise IT environment;
• autonomously synthesizing, by an adaptive control engine of the ASI platform, an automated workflow deployment specification that comprises a plurality of workflow steps to implement the one or more target changes within the enterprise IT environment, wherein the adaptive control engine accesses, via a hub access interface of the multi-layer metadata hub, portions of the consolidated metadata relevant to the one or more target changes and includes, or communicates with, at least one inference model to synthesize the automated workflow deployment specification, at least in part, by applying cross-domain reasoning on the portions of the consolidated metadata received from the multi-layer metadata hub to configure one or more parameters of the automated workflow deployment specification;
• and
• autonomously deploying, by the adaptive control engine of the ASI platform, the one or more target changes within the enterprise IT environment, wherein the at least one inference model executes each of the plurality of workflow steps corresponding to the automated workflow deployment specification to deploy the one or more target changes.

A computer program product comprising one or more non-transitory storage devices that store instructions for causing one or more computing devices to perform functions comprising:

• providing an adaptive systems intelligence (ASI) platform that is integrated with an enterprise information technology (IT) environment comprising a plurality of architecture layers and a plurality of enterprise services;
• continuously ingesting, by a multi-layer metadata hub of the ASI platform, source metadata independently generated and maintained by a plurality of distinct source systems across the plurality of architecture layers and the plurality of enterprise services, wherein the multi-laver metadata hub receives and consolidates the source metadata from the plurality of distinct source systems into a unified repository that provides cross-domain visibility for downstream deployment operations;
• receiving a request for implementing one or more target changes within the enterprise IT environment, the one or more target changes corresponding to one or more of:
• integrating of a new service in the enterprise IT environment;
• updating, modifying, or replacing an existing service in the enterprise IT environment;
• configuring or reconfiguring security settings in the enterprise IT environment;
• configuring or reconfiguring access control permissions or settings in the enterprise IT environment;
• migrating, configuring or reconfiguring data schemas and/or data management systems in the enterprise IT environment;
• configuring or reconfiguring infrastructure resource allocations in the enterprise IT environment;
• or configuring or reconfiguring one or more governance policies in the enterprise IT environment;
• autonomously synthesizing, by an adaptive control engine of the ASI platform, an automated workflow deployment specification that comprises a plurality of workflow steps to implement the one or more target changes within the enterprise IT environment, wherein the adaptive control engine accesses, via a hub access interface of the multi-layer metadata hub, portions of the consolidated metadata relevant to the one or more target changes and includes, or communicates with, at least one inference model to synthesize the automated workflow deployment specification, at least in part, by applying cross-domain reasoning on the portions of the consolidated metadata received from the multi-layer metadata hub to configure one or more parameters of the automated workflow deployment specification;
• and
• autonomously deploying, by the adaptive control engine of the ASI platform, the one or more target changes within the enterprise IT environment, wherein the at least one inference model executes each of the plurality of workflow steps corresponding to the automated workflow deployment specification to deploy the one or more target changes.