Unfortunately, 90% of AI projects do not make it into production. In this talk, I therefore show how hybrid AI combines the strengths of recent machine learning and traditional NLP methods. The hybrid approach increases the accuracy, robustness and efficiency of Natural Language Processing systems so that they can be used in real word scenarios. To begin, I will briefly explain the different NLP approaches, as well as their strengths and weaknesses. I will then show how we at HuForce have implemented highly accurate but efficient search using the hybrid approach. Finally, I'll briefly discuss two other real-world use cases of how we leverage hybrid NLP, namely: expert identification and knowledge analysis in companies.