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  "documentTitle": "The front-runners’ guide to scaling AI Lessons from industry leaders",
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      "text": "For businesses, securing a sustained advantage over competitors was long the Holy Grail—a coveted, yet elusive prize. Today, generative artificial intelligence and other forms of AI have flipped the script, bringing the previously unattainable within reach. That’s why the world’s largest companies are investing heavily in data and AI. But reinventing the enterprise with generative AI (gen AI) isn’t simply a matter of deploying a few chatbots. Reinvention is about building advanced AI capabilities like “agentic architecture,” networks of AI agents that go beyond automating routine tasks to orchestrating entire business workflows. Endowed with sophisticated reasoning, AI agents collaborate autonomously to improve quality, productivity and cost-efficiency at scale. Agentic architecture is spreading fast: one-third of the companies we surveyed for this report are already using AI agents to strengthen their innovation capabilities. Reinvention thus requires integrating AI deeply into the core of a company’s strategy. To do this, businesses, under the proactive leadership of their CEO and board, must go beyond surface-level applications of AI and prioritize structural and strategic changes that unlock AI’s full potential.",
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      "text": "Though every business may want an AI-powered edge, many companies are still struggling to advance beyond their initial AI experiments. A big reason for this, our research also shows, is low data “readiness”—which arises when all types of data, especially unstructured data, are not used to the max. Encouragingly, most business leaders recognize this challenge. For example, 70% of the companies we surveyed acknowledged the need for a strong data foundation when trying to scale AI. Data, of course, isn’t the only obstacle to enterprise reinvention with gen AI. Outdated IT systems, as well as workers’ lack of access to, respectively, gen AI tools, comprehensive training and clear guidance from leadership are significant barriers, too. At the same time, our research revealed that a small minority of companies (“front-runners”) are already achieving considerable success at reinventing their enterprises with gen AI. These companies consistently get one very important thing right: They combine what we call “table stakes” investments in gen AI with “strategic bets” (see below, “Get strategic”). Front-runners, for example, use agentic AI in their table stakes to boost efficiency. And in their strategic bets, they deploy agentic AI to radically reinvent their organizational processes and workflows.",
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