This whitepaper addresses a growing and underexplored challenge in enterprise software: the systemic fragility of talent pipelines in the SAP consulting ecosystem. Despite rapid technological advancements — from S/4HANA migrations to AI-integrated architectures — organizations continue to struggle with outdated, fragmented models of sourcing, training, and deploying consultants. The result is not merely a shortage of skills, but a deeper socio-technical misalignment between human systems and technological infrastructures. Drawing on Socio-Technical Systems (STS) theory, the paper argues that talent development should not be treated as a peripheral HR concern, but as a core element of systems design. The failure to embed learning, transparency, and responsible autonomy into delivery models has produced structural inefficiencies: project delays, inflated costs, and a chronic lack of junior talent integration. Through a combination of theoretical grounding and practitioner insight, the paper introduces the STS Learning-Integrated Talent Framework (SLITF) — a new model that reimagines talent pipelines as dynamic, adaptive systems. SLITF proposes the integration of apprenticeship structures, transparent talent matching, AI-augmented learning, and feedback-driven role evolution into the heart of consulting delivery. Rather than offering one-off solutions, the framework positions talent sustainability as a systemic condition — one that can be designed, measured, and scaled. This work is not a general commentary on enterprise skills gaps. It is a call to redesign how organizations build, deploy, and grow talent in alignment with the evolving complexity of SAP ecosystems.