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Developing an AI strategy that creates value: from ambition to execution

This article gives CEOs a practical guide to developing and implementing an AI strategy that aligns with financial and organisational goals and delivers measurable value, while avoiding fragmented efforts and risks.

KPMG stresses that successful AI adoption requires a clear strategy aligning AI initiatives with financial priorities and organisational objectives, rather than technology deployment alone.

Key takeaways

  • AI adoption without a clear strategy leads to fragmented efforts, compliance risks and wasted investment.
  • An AI strategy should deliver measurable value by aligning initiatives with financial priorities and transformation goals.
  • Key steps include developing an AI roadmap, assessing organisational readiness across data, processes, governance, technology and skills, and identifying high-priority use cases.
  • A target operating model is needed to support effective AI implementation, scaling and governance, covering processes, people, technology and risk management.
  • A human-centred approach is important for improving reporting, strengthening decision-making and achieving sustainable value from AI adoption.

What this means for CEOs

CEOs should treat AI strategy as an integral part of business strategy, focusing on measurable value, a thorough assessment of organisational readiness and a robust operating model that manages risk and supports successful scaling.

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