Most Asian SMBs overestimate their AI readiness. Use the Pertama AI Maturity Scorecard — 20 questions across 5 dimensions — to find out exactly where you stand and what to do next.
AI project abandonment surged 147% in a single year. The Pertama 5-Factor AI Success Model provides a structured pre-implementation diagnostic that makes the difference between the 20% that succeed and the 80% that fail.
The average failed AI implementation costs Asian SMBs USD 247,000. Most organizations cannot calculate whether AI will pay off before they invest. This framework, with worked examples across four value categories, changes that.
CEO-led AI projects deliver 3.6x greater bottom-line impact than those delegated to IT. The 90-10 rule reveals that technology is only 10% of the equation — and Asian SMBs have a structural leadership advantage most are wasting.
Indonesia is home to 65+ million MSMEs but only 26% have adopted AI. With AI application revenues growing 127% year-on-year, the country represents Southeast Asia's largest untapped AI market.
Singapore's SME AI adoption surged from 4.2% to 14.5% in a single year. This research summary breaks down what drove the acceleration and what other Southeast Asian markets can replicate.
Most Southeast Asian SMBs have tried AI, but the vast majority never move beyond experimentation. Here is why the pilot trap is so dangerous — and how to escape it.
Healthcare AI implementation costs: medical imaging $200K-$1M, clinical decision support $150K-$700K, patient monitoring $100K-$500K. Includes regulatory compliance.
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