In the rush to adopt AI, many professionals focus on mastering tools, but this article argues that true value comes from applying industry experience to guide AI. The author identifies four key elements: knowing where the real problems are, understanding which tasks are repetitive and time-consuming, integrating AI into existing workflows, and measuring the impact on decisions. By combining domain knowledge with AI capabilities, professionals can move beyond generic use cases and achieve meaningful improvements. The framework is particularly relevant for business analysts, operations managers, and technical leads who are evaluating AI adoption in their organizations. It emphasizes that AI is not a replacement for expertise but a multiplier that amplifies the effectiveness of those who understand their domain deeply.
A practical framework for combining domain expertise with AI to create stable value, focusing on problem identification, workflow integration, and outcome measurement.