General AI consulting builds AI capabilities into a product for its end users, such as fraud detection or conversational assistants. AI SDLC consulting changes how the engineering organisation builds software in the first place. Success metrics differ: one answers to model performance and feature impact, the other to delivery throughput and quality. Many enterprises run both, as separate programmes under separate owners.