AI t’ s nothing new that AI is reshaping industries and promising transformative efficiencies and new capabilities. Yet, as AI systems are embedded deeper into business processes, it brings up a critical conversation around ethical AI: how do companies innovate boldly while maintaining integrity, avoiding bias and ensuring positive impact? This is not just a theoretical concern but a practical challenge facing organisations deploying AI in real-world settings.
Speaking at Tech & AI LIVE Singapore, Anuj Anand, CIO of global mining, minerals and oil leader Ausenco, says:“ About 95 % of all AI projects are not successful or don’ t go past proof of concept. The key way we’ ve got across this is by ensuring that there is understanding of where it’ s going to be impactful. Understanding the business problem that you’ re trying to solve – it needs to be clearly defined and it needs to be realistic.”
Contrary to the hype of AI as a silver bullet, success – from Anuj’ s perspective – lies in focused problem-solving. Ausenco integrates AI into day-to-day workflows, through tools like Microsoft Teams and agentic AI assistants, to bolster employee productivity. Yet, Anuj cautions against“ jumping into AI for the sake of AI”. Instead, effectiveness depends on understanding exactly which business problems AI can solve and setting measurable targets.
108 January 2026