As organisations move from AI experimentation to enterprise-wide adoption, SAP’s latest research highlights what businesses need to maximise AI’s full value.
Singapore agentic AI adoption jumped from 25% to 60% in 12 months with expected ROI of US$9.8m over 2 years; 80% of businesses cite data quality and governance gaps as the main barrier to scaling. Enterprise data infrastructure and governance frameworks, not AI technology itself, determine success—IT leaders must prioritize these investments to capture real value from agentic AI deployment.
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As organisations move from AI experimentation to enterprise-wide adoption, SAP’s latest research highlights what businesses need to maximise AI’s full value.
Businesses across Southeast Asia are moving from AI experimentation to deployment, with success increasingly dependent on trusted data, strong governance and human oversight. (Photos: SAP)
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