  AI has the potential to improve approaches to talent management enabling
dynamic provisions through implementing advanced automation. This study aims to
identify the new requirements for developing AI-oriented artifacts to address
talent management issues. Focusing on enhancing interactions between
professional assessment and planning attributes, the design artifact is an
intelligent employment automation solution for career guidance that is largely
dependent on a talent intelligent module and an individuals growth needs. A
design science method is adopted for conducting the experimental study with
structured machine learning techniques which is the primary element of a
comprehensive AI solution framework informed through a proposed moderation of
the technology-organization-environment theory.
