Leveraging Artificial Intelligence in a Skilling Ecosystem

Trans Neuron Technologies (TNT) is a learn-to-launch (L2L) company, which aims to transform job-seekers into industry-ready professionals by providing them with adequate backing to undertake that journey. TNT is an innovative company with immense faith in the power of the youth. The company offers eKaushal, a unified platform for various stakeholders in the skilling ecosystem, including candidates, training providers, employers, and assessment agencies. Hundreds of youth visit the eKaushal platform every day to undergo various forms of professional training. These candidates belong to various demographics, education level, income brackets, etc. It was found that some of the candidates could not leverage the training for employment opportunities. The business goal is clearly defined for TNT – they want to enable efficiencies in the entire skilling ecosystem, thus helping youth with employment opportunities. For Shivaam Sharma, the Chief Executive Officer of TNT, the objective is to recommend relevant training to the candidates to increase their employability chances. Sharma wants to use the collected data to achieve the following: 1. Recommend suitable trainings to candidates, so that dropouts are reduced and placement chances for candidates are increased. 2. Compare efficiencies of the training providers (TP) and understand if some of the TPs are underperforming and therefore leading to fewer training completions.

This case intends to help students recognize how even the most innovative technology solution that solves a challenging business problem can run into trouble due to the business model and the inherent industry structure. It also helps students understand how technology-oriented companies identify new markets, evaluate the potential opportunities, and pivot around their core capabilities to solve new problems and quickly establish themselves in the new market.