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Risk in Context Podcast: Unlocking generative AI’s potential through cross-organisational strategies

In this episode our hosts discuss the multiple opportunities that generative AI presents, look at how the use of these technologies is evolving, and provide actions that senior leaders should consider to address technical, process, and people implications.

16/09/2025 · 1 minute read

The generative AI landscape continues to evolve at a fast clip, with organisations across various industries increasingly seeking to harness AI’s capabilities to enhance productivity and operational efficiency. 

While the transformative potential of generative AI technologies provides organisations with multiple opportunities, there is a high risk potential if implementation is carried out without appropriate caution and oversight. Vulnerabilities such as data privacy breaches, misinformation, intellectual property concerns, and operational disruptions underscore the importance for organisations to thoroughly understand, identify, and proactively mitigate the potential challenges to fully realising the benefits of this emerging technology while safeguarding their operations and reputation.

In this episode of Risk in Context, Gregory Eskins, Marsh’s Global Cyber Product Leader and Head of the Global Cyber Insurance Center, speaks with Adriana O’Kain, Mercer’s AI Strategy, Innovation, and Solutions Leader. They discuss the multiple opportunities that generative AI presents, look at how the use of these technologies is evolving, and provide actions that senior leaders should consider to address technical, process, and people implications.

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Key takeaways

Cross-functional collaboration is essential for successful generative AI integration

Generative AI integration challenges and opportunities cannot be managed in silos. Organisations must foster collaboration among operational functions to develop comprehensive strategies that balance innovation with risk management.

Leadership communication shapes organisational generative AI adoption

Transparent and consistent communication from senior leadership about generative AI’s impact, risks, and strategic purpose is vital. Clear messaging can build trust, align expectations, and prepare employees for AI’s cultural and operational changes.

Proactive risk management is key to effectively integrate generative AI

Organisations should consider developing detailed scenarios and conducting cross-departmental planning, enabling them to anticipate potential pitfalls, measure impacts, and implement effective controls before issues arise.

About our speakers

Greg Eskins

Gregory Eskins

Global Cyber Product Leader and Head, Global Cyber Insurance Center

  • United States

Gregory Eskins is Marsh’s Global Cyber Product Leader and Head of the Global Cyber Insurance Center. As Global Cyber Product Leader, he ensures Marsh delivers superior solutions to clients, supported by actionable insights, risk intelligence, and product innovations via the Global Cyber Practice’s expertise and experience. As Head of the Global Cyber Insurance Center, he ensures a laser focus on advancing clients’ interests and delivering the best for client solutions via cyber coverage analysis, product innovation and commercialization, and state-of-the-art perspectives and insights regarding current and emerging cyber risk issues; the centre also engages in matters of public policy and delivers training to colleagues.

Adriana O'Kain

Adriana O’Kain

AI Strategy, Innovation and Solutions Leader, Mercer

  • United States

Adriana O’Kain is a Partner at Mercer, where she leads the AI Advisory Center of Excellence. With nearly two decades of experience advising global organisations and C-suite leaders, she helps companies navigate the rapidly evolving AI landscape with a focus on responsible adoption and workforce impact. Adriana brings a global perspective and a passion for ensuring technology empowers people and builds a more inclusive future.

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