A survey by analytics software company FICO and research firm Corinium Global Intelligence found that 71% of companies in Asia see artificial intelligence (AI) governance as the biggest driver of return on investment from their AI projects.
The figure is higher than in other regions, including Europe at 48% and Australia and New Zealand at 44%, according to the study.
Companies worldwide often invest in AI to improve customer experience and increase revenue or market share. In Asia, however, businesses also focus strongly on governance, which refers to the rules, controls, and processes used to manage AI systems and reduce risks.
The study said companies in the region are taking a more structured and cautious approach as they expand the use of AI. This includes focusing on transparency, better control of AI systems, and predictable results.
Responsible AI standards were cited by 63% of respondents as a main priority, while 54% highlighted decision intelligence systems, which help organizations make better data-driven decisions.
“From credit decisioning to fraud prevention, financial institutions across Southeast Asia are moving rapidly beyond pilots to operationalize AI at scale. While Asia leads globally in recognizing the business value of AI governance, critical challenges remain,” said Dattu Kompella, managing director, Asia Pacific for FICO. “AI teams are still too disconnected from core business functions, and AI model monitoring integration remains underdeveloped. Closing these gaps is key to trust, regulatory confidence, and sustainable business performance.”
The survey also found that 83% of Asian companies adopt AI mainly to reduce costs and improve efficiency. Only 13% said their AI projects are “very aligned” with business goals, although this is still higher than in some regions.
Despite the growing adoption of AI, companies face several challenges. About 76% of respondents said weak monitoring of AI models is the biggest obstacle to expanding AI use.
Resistance to change within organizations was cited by 71% as another barrier. Many respondents also said business and IT teams still do not work closely enough on AI initiatives.
The study surveyed more than 250 C-suite AI and technology leaders from Asia, North America, Europe, Central and South America, and Australia and New Zealand.
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