CREWS
Introducing Human Potential Radar to balance AI productivity with sustainable human learning and long-term talent development.
Challenge
A new approach to starting a career
What does it mean for companies and young professionals when junior tasks are taken over by AI agents? How do we shape career entry and enable professional experience in an automated world?
Team
Esha Maryam, Daria Priadkina, Umar Farooq
Contact: esha.marryam@gmail.com, d.dprkll@gmail.com, umar.farooq@hm.edu
About the prototype
The CREWS prototype, the Human Potential Radar, is a consulting and analytical framework designed to uncover and prevent the hidden loss of human learning caused by over-automation. Instead of focusing solely on AI upskilling, the Radar audits workflows to identify where critical developmental tasks so-called “shadow learning” are disappearing. Using the Human Potential Heatmap, organizations can visualize learning “cold zones” created by excessive automation. Through Learning Impact Auditing, workflows and job roles are redesigned to preserve cognitive engagement by intentionally retaining high-context tasks for humans. Finally, the Talent Flow Blueprint redefines career progression in AI-augmented workplaces. The solution culminates in a Social Sustainability Score, enabling organizations like G+D to measure, manage, and monetize long-term talent development while responsibly embracing AI-driven efficiency.
Outputs
Pitch of CREWS
Documentation of CREWS