When done right, responsible AI isn’t simply a framework to mitigate risk. It’s a way to deliver transformative business impact. BCG works with companies to make responsible AI a reality.Learn More
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.
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.
Arti Zeighami, former chief data and analytics officer for H&M Group and current director and partner for BCG X, explains how H&M went from a digital laggard to an AI industry leader—in just three years.
BCG deployed a diverse team of AI and technology specialists to help KLM turn its operations into a competitive advantage. The result was an increase in customer satisfaction and a decrease in operating costs.
Operational Excellence for a Leading Pharmaceutical Company. To supercharge our client’s data and analytics capabilities, we deployed AI at scale, digitized supply chains, fostered agile ways of working, and activated other key enablers. Together, these initiatives delivered $500 million in value in 15 months.
End-to-end AI Transformation at a B2B Power Equipment Distributor. Focusing on both human and technical enablers, we helped our client implement an ambitious AI strategy. High-value use cases supported by a central data platform, robust data governance, and newly recruited data and AI teams sparked a margin uplift of more than 40 basis points in 18 months.
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A first-of-its-kind scientific experiment finds that people mistrust generative AI in areas where it can contribute massive value and trust it too much where the technology isn’t competent.
Tools like generative AI could work wonders for individuals, businesses, and society. But that bright future depends on our ability to develop AI responsibly now.
BCG’s third annual survey shows that companies are improving their responsible AI—but not fast enough.