Augmentation is the practice of enriching an AI model’s capabilities by supplying it with additional, often real-time, domain-specific data. This process ensures outputs are more relevant, accurate, and aligned with business context without the need for retraining the base model. In enterprise deployments, augmentation allows organizations to leverage pre-trained models while customizing their performance to fit specific operational needs, driving faster adoption and higher return on AI investments.