Want Real AI Transformation? Focus on Your People and Processes
Nov 6, 2024
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Delphine Zurkiya, a Senior Partner at McKinsey & Company specializing in AI initiatives, shares her insights on effective AI adoption. She emphasizes that CEOs should start by identifying their core business problems before integrating AI. The conversation delves into the importance of reskilling teams and maintaining transparency during AI implementation. Zurkiya highlights the transformative potential of AI in workflows while stressing the necessity of human oversight. Additionally, she envisions a future where AI enhances both work efficiency and personal wellness.
Focusing on strategy, CEOs must address specific business problems before leveraging AI to ensure effective transformation and adoption.
Reskilling healthcare workers and fostering a culture of experimentation are essential for overcoming AI adoption barriers and enhancing workflows.
Deep dives
Navigating AI Adoption in Healthcare
AI adoption in the healthcare sector faces significant challenges, primarily due to change management issues rather than technological constraints. Delphine Zerquia emphasizes the importance of focusing on the human and process aspects of AI implementation, stressing that effective adoption hinges on understanding how AI alters workflows for medical professionals. She highlights the pressing need for reskilling and time allocation for experimentation among healthcare workers to facilitate this transition. With increasing burnout and a demand for innovation, the dialogue surrounding AI adoption must prioritize overcoming the initial hesitance towards adopting new technologies in these regulated environments.
Transforming Consulting Through AI Integration
In consulting, the integration of AI tools like the internal platform Lily has revolutionized workflows by allowing consultants to access vast amounts of information quickly and creatively. The transition from traditional search methods to AI-assisted interfaces has led to new use cases that consultants never anticipated, showcasing the adaptability of teams in leveraging technology. This transformation is not without its challenges, as significant internal change management is necessary to align processes and expectations within the organization. The experience gained from this internal journey not only aids in enhancing productivity but also informs consulting practices with clients, thus creating a feedback loop of learning and improvement.
The Future of Work in an AI-Driven Landscape
Looking ahead, the consulting industry is poised for a shift where technology-driven tasks will change the role of entry-level positions rather than eliminate them. While there may be a redistribution of responsibilities between human workers and AI, the core objective remains the same: to address client questions effectively and efficiently. CEOs are urged to focus on strategic applications of AI that align with business goals, acknowledging the crucial role of change management in scaling technology initiatives. As organizations become more adept at employing AI, a cultural shift will foster a workforce where every individual is a technologist, equipped with the tools and knowledge to navigate a rapidly evolving work environment.
“The biggest advice I have for CEOs is to ask, what are you trying to solve? What’s your strategy? What’s your business problem? And then we can think about how AI can support that.” That’s the message of Delphine Zurkiya, a senior partner at the strategy and management consulting firm McKinsey & Company who works with clients while also leading her division’s AI initiatives. In this episode, we discuss AI adoption, reskilling teams for this new era of work, and the value of being completely transparent about when and how you use AI.