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Digitalising Capabilities Management in a Leading Telco – 2024 Perspective

AI talent management meets real-world transformation: A global telecom giant implemented a scalable HR analytics platform to support the reskilling of over 2,500 employees across its operations.
Dominik Zuk
Founder of AutomAIze

Project delivered prior to founding AutomAIze


A leading global telecommunications company, serving over 50 million customers and generating €15 billion in annual revenue, invested in a future-proof HR analytics system to streamline and scale its reskilling programs. The goal: to standardize, automate, and optimize talent development across the enterprise. The HR team faced key challenges, including limited capacity to manage large-scale programs and a lack of visibility into employee skill profiles.

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Job roles impacted: 100+

Employees: 2,500+​

Skills mapped: 300+


Challenge in talent management

Mass reskilling through personalized digital development plans

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HR analytics supporting the process

Unlocking human potential with HR analytics

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HR Analytics: Redefining Talent Management at Scale

This initiative introduced a new paradigm in how organizations manage and unlock talent. At its core: a scalable talent management platform, built on SAP and Microsoft technologies, designed to support the full employee development lifecycle. 

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New job opportunities

Stakeholders engagement

HR platform

Lessons from HR Analytics in Large-Scale Reskilling

Digitalising capabilities management marked a pivotal shift in the company’s HR strategy. By implementing HR analytics, the organization not only solved operational pain points but laid the foundation for sustainable workforce development and upskilling. his project showcased how AI talent management can drive workforce transformation and long-term organizational success in the digital age.

01

Scalability: the underlying data model proved to be universal and ready for implementation across multiple business units.​


 

02

Skill Gap Monitoring:  Solid, ongoing HR analytics was essential to track, assess, and address competency gaps.

03

Technology Agnostic: The solution architecture supported diverse technologies, allowing full flexibility in future deployments.

04

Automation-Ready: the platform demonstrated strong potential for future ML- and AI-powered automation, increasing precision and efficiency.

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