Case Study: CVC Capital Partners Leverages Generative AI for Strategic Growth

CVC Capital Partners plc, a leading global private markets manager, specializes in private equity, secondaries, credit, and infrastructure. With 29 local offices and €193 billion in assets under management, CVC identifies and creates value in investment opportunities. Its private equity platform manages €119 billion, while its credit and secondaries platforms manage €42 billion and €14 billion, respectively. Recently, it has applied generative AI to optimize operations and portfolio companies, setting a new industry standard.

Key Takeaways

• AI was strategically applied to over 120 portfolio companies to identify and prioritize AI-driven opportunities.
• Companies were categorized based on their susceptibility to disruption and potential for transformation through AI.
• Multiversity Group, an Italian online educator, utilized generative AI to enhance student and faculty experiences.
• CVC’s MVP accelerator facilitated the rapid development and testing of AI initiatives.

Approach

CVC adopted a structured approach to implementing generative AI across its portfolio. Starting with an industry-wide perspective, the firm drilled down to the company level, posing critical questions about customer needs, business model threats, potential new competitors enabled by AI, and existing barriers to entry. This comprehensive analysis allowed CVC to classify its portfolio companies into three categories: companies facing imminent disruption, companies likely to transform in the coming years, and companies unlikely to experience significant AI-driven disruption.

Implementation

One exemplary implementation of this approach was with Multiversity Group, an Italian online educator. Recognizing the potential of AI in education, CVC identified Multiversity as a prime candidate for AI integration due to its strong market share, accredited content, and presence in a regulated university landscape. To accelerate Multiversity’s AI initiatives, CVC established an “MVP accelerator” program designed to identify potential AI applications, develop business cases for these applications, create minimum viable products (MVPs), and test and refine solutions based on real-world feedback.

Results

The MVP accelerator at Multiversity resulted in significant operational improvements. AI modules were developed to handle routine student inquiries, reducing the workload on professors by 80%. This allowed professors to allocate more time to course planning and one-on-one student interactions. Additionally, the accelerator fostered a culture of innovation, launching up to 30 AI-driven initiatives. These advancements not only protected Multiversity from competitive threats but also enhanced its market position and exit potential.

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Sources:
Harnessing Generative AI in Private Equity

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