There is no set way to do AI implementation, and use cases can range from the relatively simple (a retailer lowering costs and improving experience with an AI chatbot) to the highly complex (a manufacturer monitoring its supply chain for potential issues and fixing them in real-time). However, there is an AI roadmap, with some fundamentals that organizations should consider to set themselves up for success. It's critical to align AI strategy with business goals and to choose the right operating model and capabilities to support those goals.  Organizations also need to reconfigure their workforce to support and scale AI. That means defining the optimal talent mix to deliver business outcomes, while facilitating hiring, upskilling and cultural change to empower employees. Finally, considerations for AI must be built into an organization's core values as well as their governance and compliance processes. That includes implementing technical guidelines to make sure that AI systems are safe, transparent and accountable, and training everyone in the organization, from general employees, to AI practitioners, to the C-suite, to use AI with context and confidence.