The term social capital is an often used in organizations, but it is rarely described in detail or quantified as a component of an organization’s value creation potential. In this conceptual paper we address this practical and research gap by proposing initiatives along two complementary dimensions: First, we propose an initial step on the road to clarifying and quantifying the behavioral drivers that constitute social capital and describe how the value of social capital increases, or appreciates, over time. We do this by identifying twelve specific behaviors from the literature, collectively called the APPRECIATOR Algorithm, that individual team members can enact individually and also reinforce in others as they contribute individually and in collaboration. Second, we introduce a design for an AI-enabled work-team engineering platform that supports the gathering, analysis, and use of previously hidden human interaction data to quantify and increase the value creating potential of human and social capital. The platform supports individual professional development by delivering context-specific, personalized smart-coaching insights and opportunities for virtual human mentoring on the user’s smartphone. Importantly, each user owns and controls its data. Privacy is secure and protected because each user’s data can only be accessed and used by that particular user.