In many business processes, humans need to answer questions using information stored in documents like financial reports or technical documentation. Even for rather simple, fact-based questions this can be a time consuming task, if the document is long or if there are many of them. Finding the answer automatically can help to accelerate processes, e.g. the Due Dilligence during a M&A transaction.
Due to new deep learning architectures and a growing research interest, the model performance currently improves on a monthly base and already reached human performance for rather simple Q&A problems. The models are usually pre-trained on some large corpus and get fine-tuned afterwards for your particular domain and type of questions.