Artificial Intelligence is no longer something businesses can simply watch from the sidelines. Organizations across industries are exploring AI to improve customer experiences, automate repetitive work, analyze data, support employees, and make better decisions. But as AI adoption grows, another problem is becoming increasingly common: businesses are starting AI development before deciding what they actually want AI to achieve. The excitement around new AI tools can make it tempting to jump directly into development. A company may see a competitor launching an AI assistant, hear about a new generative AI model, or discover an impressive automation tool and immediately think, “We need this too.” That approach can create expensive technology without solving an important business problem. The better approach is to start with strategy. An effective AI strategy connects artificial intelligence with the company’s business objectives. It identifies where AI can create meaningful value, which problems should be prioritized, what data and infrastructure are required, and how success will be measured.