Sentiments about AI governance maturity, staff AI skills gaps, managing AI supply chains, were some of the issues explored

Third, respondents from the region mature AI governance frameworks showed (in the overall data) a 28% increase in staff using AI solutions, and they would have deployed AI in three additional areas of the business compared to those in less AI-mature organizations. These respondents indicated a near-5% higher revenue growth compared to those with less established governance. Also:

  • Given the firm’s earlier reports asserting that the rapid pace of AI adoption is driven by employees, who often outpace their leaders, it appears that human judgement and action (or reaction) had still played a critical role in successful AI governance for now.
  • Employees can have valuable insights about the functionality and potential risks related to using AI solutions. However, less than two-thirds of respondents deemed to represent South-east Asia had indicated a belief that employees in their organizations had the required level of skills and capabilities to use AI solutions responsibly.

Putting itself as a global consultancy, the firm offers recommendations:

  • ✓ Prioritize AI governance to realise returns from AI
  • ✓ Understand and leverage the broader AI supply chain
  • ✓ Build risk managers, not risk avoiders
  • ✓ Communicate and ensure AI transformation readiness across the business