Artificial intelligence leaders seamlessly integrate AI into their business operations, and as generative AI becomes more accessible, the potential for additional leaders to emerge grows. Attaining AI leadership requires a comprehensive strategy that includes grasping AI’s impact on business, reimagining processes, fostering adoption, and establishing the necessary capabilities and governance structures. Continue reading to uncover how companies become successful when they fully embrace AI!
AI can deliver significant business impact, but companies can maximize its value by taking an end-to-end approach. Weaving together strategy, process redesign, and human and technical capabilities, we create the fabric of an AI-driven organization, enabling the outcomes that drive businesses forward.
AI leaders—the companies remaking industries—don’t just use AI. They’re fueled by it. And as generative AI brings the power of AI to more businesses, the ranks of AI leaders are poised to grow. But getting there requires a holistic approach. You need to understand how artificial intelligence can drive business outcomes. But just as crucially, you need to reimagine processes, foster adoption, and develop the right capabilities, roles, and governance. We help companies pull all these levers, so they can deploy AI at scale—and scale up the value, too.
Our research shows that fully embedded AI is one of the key attributes shared by future-built companies that excel across financial and nonfinancial measures. We unleash the power of AI by building an organization around it. Getting the roles, responsibilities, and culture right is just as important as perfecting the algorithms. As generative AI democratizes artificial intelligence—enabling companies without a deep bench of data scientists to use and benefit from the technology—this end-to-end approach will be crucial to gaining a competitive edge.
Our Approach to Artificial Intelligence and AI at Scale
Every artificial intelligence journey is different: each one is shaped around an organization’s starting point, circumstances, and goals. But a single thread connects the pioneers of AI at scale. They typically dedicate 10% of their AI effort to algorithms, 20% to data and technological backbone, and 70%—the lion’s share—to business and people transformation. We call this the 10/20/70 rule, and it’s at the heart of our approach to AI. By redefining human–AI interaction, we unlock the full potential of AI in business.
Our approach emphasizes value and enablement. The idea is to imbue tools like generative AI in business strategy as well as in the business itself. If you want a transformative impact from AI—not an incremental one—you need to redesign processes and foster adoption. And you need to think about these things from the very start, as you develop your AI solutions. We orchestrate these levers so they support and enhance each other—and drive AI at scale.