While genAI has been a hot topic for the past couple of years, organizations have largely focused on experimentation. In 2025, that’s going to change. It’s the year organizations will move their AI initiatives into production and aim to achieve a return on investment (ROI).
But first, they’ll need to overcome challenges around scale, governance, responsible AI, and use case prioritization. Here are five keys to addressing these issues for AI success in 2025.
1. Identify your top genAI use cases. For organizations seeking productivity and innovation gains, a best practice is to prioritize use cases based on value, feasibility, and breadth. To determine value, ask yourself questions like: How strategic is this use case? Does it contribute to business outcomes such as revenue, sustainability, customer experience, or saving lives?
To evaluate feasibility, ask: Do we have internal data and skills to support this? What are the associated risks and costs, including operational, reputational, and competitive?
Finally, when evaluating scope or breadth, go broad when there’s competition for resources and narrow if there’s hesitation toward adoption.
2. Evaluate processes that can be improved with genAI. When thinking implementation, first consider how genAI can to learn more about how you can advance from genAI experimentation to execution.
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