The current business landscape demands a workforce that excels in innovation, creativity, and efficiency—requiring companies to move away from traditional hierarchical models. Making the shift to a modern workforce of self-directed, high-performing teams requires a multi-disciplinary ecosystem that spans that enterprise, talent hubs focused on innovation, and integration of emerging technologies like Generative AI, machine learning, cloud, and automation.
In this paper, we look at how capturing value from technology and other investments requires deconstruction of the workforce. Organizations should look holistically at employee tasks and determine how those tasks can be optimized, e.g., through AI enablement, automation, upskilling and reskilling, outsourcing, etc. Some considerations highlighted in the paper include:
Redefine managerial positions to focus on coaching and empowering teams
Adopt a community pool or “homeroom” structure where employees are grouped by skills
Incorporate upskilling into the operating model to allow the organization to adapt to changing needs
Leverage HR to optimize and reshape the workforce while providing change management support
A workforce transformation involves assessing the skills and tasks performed by employees, determining future skill requirements, and leveraging technology and global resources effectively. A reconstructed workforce offers flexibility in resource allocation, encourages continuous learning, and enhances overall productivity, leading to a stronger, more agile organization.
Deconstructing and then reconstructing jobs to capture the value from technology require coaching, empowerment and upskilling as key components that enable high quality results, better efficiency and greater autonomy.
