CASE STUDY 2 Censia: a 360 view of workforce skills Context : A U.S.-based Fortune 50 telecom set out to build a living, skills-first view of its workforce to uncover hidden capabilities and accelerate mobility. Faced with static, self- reported employee profiles (less than 10% complete) the company couldn’t see adjacent strengths, especially in AI, data and digital skills. Leaders launched an initiative to replace incomplete snapshots with real-time, evidence-based insights drawn from multiple data sources. Guided by the principle of “See the whole human,” the approach balanced technical competencies with human capabilities, giving employees agency to validate their skills and creating a richer, more dynamic picture of workforce potential. Approach : Censia, an AI-powered talent intelligence company, enabled the Fortune 50 telecom to unlock the full potential of its workforce by implementing Censia Employee Intelligence, a solution that enhances employee profiles with AI-inferred and validated, context-aware skills derived from employee data, work histories and global labour-market insights. Furthermore, the product assesses skills from employees’ experiences including job history, projects and achievements, and then validates them against internal and market benchmarks. Employees review and confirm every inferred skill for accuracy and relevance. The initiative began with a six-week pilot involving 4,700 employees, where participants reviewed and confirmed every AI-enriched skill for accuracy and relevance. This validation created trust and ensured fairness across demographics, job families, and levels. Profiles became dynamic records which evolved as employees took on new roles, projects or training, minimizing the problem of non-current skills data. Integration with the company’s existing HR system enabled employees to explore, through the HR platform’s talent management features, how their skills connected to potential career pathways within the organization. AI-driven enrichment ensured speed, accuracy and scale that manual processes could never achieve: a more accurate, fair and empowering way to highlight what people are truly capable of. Results : With richer, more accurate profiles, there was an increase of 26% in internal mobility, driven by better job matching and a surge in employee applications for open roles. Employees reported that the AI-inferred skills were more than 85% accurate, and that the experience left them feeling inspired, seen and capable. Delivering a living, 360-degree view of skills rooted in real performance, benchmark validation and employee review strengthened workforce agility, improved fairness in career decisions, and positioned the organization to respond to future talent needs with confidence and significantly reduce voluntary turnover. The pilot eventually expanded to cover all the company’s US-based 75,000 employees. In a year, the initiative generated significant operational efficiencies: 65,000 hours saved, equivalent to $29 million in overhead costs, by automating skills enrichment instead of relying on manual data entry from employees. This created the foundation for a large- scale resilient internal talent marketplace where AI, data and digital capabilities and human strengths are both visible and valued, enabling confident employee redeployment as needs evolve. New Economy Skills: Building AI, Data and Digital Capabilities for Growth 35

New Economy Skills 2025