Abstract: A computer hardware system includes a machine learning engine and a hardware processor configured to perform the following executable operations. Text of a role description of a role having a role title is preprocessed. Competencies are inferred from the role description; using the machine learning engine. Competencies are identified from titles in a talent framework being similar to the title using the machine learning engine. The competencies are aggregated into an aggregation of competencies. The competencies in the aggregation are ordered based upon aggregated similarity scores. A proficiency level associated with each of the competencies in the aggregation is adjusted based upon band level and competency type. A plurality of competencies are selected. The role is augmented with metadata that includes the selected plurality of competencies and proficiency levels associated therewith.

Abstract: An approach is provided for generating process flow documentation. Headings and subheadings are identified in multiple system documents specifying actions required to be taken in response to service requests, which are specified by process flows. A portion of a system document included in the multiple system documents is mapped to a process block of a process flow included in the process flows. The portion is specified by a heading or subheading in the system document. The mapping is based on a similarity score indicating an amount of similarity between (i) the heading or subheading and (ii) a name of the process block, or based on a matching of the portion of the system document to the process block by a semantic understanding of the portion provided by a machine learning system.