Building a solid enterprise AI strategy shouldn’t be about picking high-impact use cases but rather laying the right foundation so AI actually fits the way the business runs. Linda Tucci’s recent article offers a valuable perspective on enterprise AI’s transformative potential, and it underscores the need for more than just technical ambition. For AI to deliver sustainable impact, companies need a governance framework that aligns AI initiatives with core processes, rather than bolting on solutions and hoping they’ll work. Effective AI fits with existing systems, not against them.
Data quality is another critical piece. The best AI models in the world won’t make a difference if they’re fed inconsistent or poor-quality data. Setting up strong data practices from the start, ensuring data that’s accurate, relevant, and accessible, is essential. This investment pays off as AI continues to learn and refine itself in real-world use.
Then there’s the people side of it. AI changes how work gets done, and that affects people across the board. This is why an important part of any solid AI strategy has to be change management. That includes giving employees the tools, training, and support they need to integrate AI into their day-to-day confidently. The more we manage this change actively, the more likely we are to see genuine adoption and trust in AI tools.
As Tucci highlights, AI embedded within the right structures and workflows becomes a true strategic asset. A well-built AI strategy, grounded in governance, quality data, and thoughtful change management, drives growth, improves decision-making, and delivers real value to the business.
