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Bridging the gap between AI investment and business results through enterprise orchestration

This article gives C-suite leaders a strategic view of how to turn disconnected AI initiatives into an integrated system that delivers measurable value, addressing the critical gap between AI investment and actual business performance.

Despite rising investment in artificial intelligence, only 14% of organisations see themselves as AI leaders, indicating a significant execution gap. The key to success is enterprise orchestration: a holistic approach to integrating AI, governance and operating models.

Key takeaways

  • Most organisations fail to realise the expected value of AI investments because of disconnected pilots and outdated operating models.
  • Success requires enterprise orchestration: aligning priorities, integrating execution and maintaining control across a complex network of functions, technologies and operating models.
  • Leading organisations redesign workflows, build integrated technology foundations and establish enterprise-wide governance to scale AI’s value.
  • Strategic partners, such as managed service providers, can help redesign workflows, embed risk management and governance, and align execution with core business goals.

What this means for CEOs

Leaders should move from isolated AI deployments to holistic enterprise orchestration, focusing on integration, governance and strategic partnerships to turn AI investment into tangible business results and competitive advantage.

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