This thesis investigates the transformative impact of AI-driven business process automation on the international headhunting industry, a sector characterized by significant operational complexities, legal hurdles, and scalability challenges. The central problem addressed is the pervasive inefficiency stemming from manual, time-intensive, and fragmented recruitment workflows that increase costs and limit strategic agility. Adopting a Design Science Research (DSR) methodology, this project centers on the creation, implementation, and rigorous evaluation of a portfolio of innovative IT artifacts. The research demonstrates the powerful synergy between Artificial Intelligence (AI), No-Code/Low-Code (NC/LC) platforms, and Business Process Management (BPM) principles to engineer a holistic solution. The core of this work is a bespoke, AI-powered automation ecosystem built on a secure, on-premises infrastructure, featuring a suite of targeted solutions that automate critical processes such as intelligent CV screening, automated content generation, and end-to-end lead management.