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Investing in capabilities that support continued agility and iteration. Strengthen operations and support systems gradually. It levels the playing field for startups and inspires larger organizations to evolve with agility. Prepare by: Creating brand affinity and user loyalty. Building switching costs or network effects.
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Workforce: AI systems operate independently, handling tasks traditionally done by humans. Real-World Example: Many regional manufacturing companies continue to rely on paper-based systems and manual quality checks, missing opportunities for automation and efficiency gains. Level 6: A.I.-driven Level 7: Autonomous A.I.
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Integration with Existing Systems : Ensure seamless integration of AI applications with your client’s existing IT infrastructure. This might include data management systems, CRM platforms, and other enterprise software. Utilize tools for AI-powered decision-making and predictive analytics to develop tailored solutions.
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We design the innovation system we need after we know what we are trying to achieve in the challenge or idea. We need to adapt our system thinking to the challenge identified, not the other way around, that of trying to fit them into a generically designed process. We need to design our systems to be highly agile.
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