Building an AI strategy needs to include explainability for complete visibility into machine-generated decisions. Explainable AI ensures there’s a human present in the loop of the AI process, where the machine provides transparent and reliable explanations, and the human can correct the machine in cases where its decisions are wrong. The sooner such an AI strategy is explored, the sooner an organisation can start reaping AI’s incredible rewards. There is a growing concern in the business community about the implications of artificial intelligence and its automated decision making. We know AI as a set of techniques that allow computer software to learn from old data, and make sense of new data in a way that resembles human intelligence.