A globally recognised digital transformation firm serving Fortune 1000 clients built one of the most comprehensive AI upskilling programmes in its sector. With 47 unique courses mapped across 36 distinct personas and 10+ practice areas, it represented a serious, organisation-wide commitment to AI readiness. As the training cycle closed, one question remained: had the learning actually stuck? Here is how HackerEarth helped them find out.
Founded in 2014, the organisation is a full-service digital transformation and consulting firm, applying deep expertise across customer experience, data analytics, AI, platform engineering, cloud infrastructure, and security. A globally certified Great Place to Work, it is one of the fastest growing digital technology service providers for Fortune 1000 customers, with a presence across the USA, India, UK, Europe, and Mexico.
As the organisation accelerated its AI-led services, it licensed a third-party learning platform to upskill its workforce across Generative AI, Agentic AI, LLM Engineering, Python, Data Science, AI Ethics, and AI Security, with curriculum tailored by both function and seniority. The platform delivered content well. But course completion data alone could not answer the questions leadership needed answered.
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• No unified cross-course assessment- The platform tracked completion per module but could not administer a single consolidated assessment across an employee's full learning path. Managers had no holistic view of readiness.
• No way to rank or benchmark employees- Without comparative performance data, identifying high performers or surfacing development needs was not possible.
• No proctored environment. Without invigilation controls, results could not be trusted for high-stakes talent decisions.
• Fragmented data with no actionable insight- Raw completion metrics existed, but nothing managers could use for talent reviews or organisational planning.
HackerEarth was introduced as a dedicated assessment and benchmarking layer at the conclusion of each department's learning cycle, providing the rigour and analytical depth that a course platform alone cannot offer.
The programme covered the organisation's full workforce, from engineers and leads to architects, SMEs, and senior leadership. Technical and non-technical teams alike were assessed, making this one of the most comprehensive post-training evaluation programmes of its kind.
The engagement gave the organisation a credible, verified record of workforce capability at the close of its training cycle. Managers could identify their strongest performers, understand where knowledge gaps persisted, and make talent decisions grounded in evidence rather than assumption.
The learning platform continued to serve as the vehicle for content delivery. HackerEarth served as the validation layer that gave those learning investments organisational credibility and measurable return. The assessment programme is now embedded as a standard component of the organisation's internal training cycle.
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Sunnyvale · Bengaluru · Remote worldwide
