Interview | Why Most AI Investments Fail to Deliver EBITDA and How Private Equity Firms Can Change That

Too many organisations are investing heavily in AI without a clear commercial objective, a defined governance framework, or a practical roadmap for turning pilots into measurable business outcomes.

In this exclusive interview, Yun Ma, Principal in Data Strategy and Analytics, JMAN Group, explains why successful AI adoption isn't about implementing more tools; it's about identifying the right use cases, aligning leadership around a common vision, and embedding AI into the operating model to deliver measurable EBITDA growth.

Drawing on real-world portfolio company experience, Yun shares practical examples of how data, AI, and governance can strengthen value creation while avoiding the common pitfalls that prevent organisations from realising return on investment.

Download the interview to discover:

• Why many AI initiatives fail to deliver measurable EBITDA, and the governance changes needed to reverse that trend
• The operational levers delivering genuine value today, from upsell and cross-sell to churn prediction and lead prioritisation
• How leadership alignment, KPI design, and a clear AI 'North Star' create the foundation for sustainable value creation

If your organisation is looking to move beyond AI experimentation and deliver measurable commercial outcomes, this interview offers a practical roadmap for doing exactly that. Download your complimentary copy today and discover how leading private equity firms are turning AI investment into measurable enterprise value.