The document discusses how a language services provider transitioned to a results-based model using disruptive innovation to target underserved markets and handle massive translation volumes. Key points include leveraging machine translation and automation through APIs to provide scalable and cost-effective localization workflows. Evaluation of the model found increased client content creation and translation volumes with cost reductions of 35-55% compared to traditional pricing models. The global translation market is growing rapidly, so disruption of traditional service models is an opportunity for growth.