How does this programme address Thailand's PDPA requirements for AI systems?

All training modules incorporate PDPA compliance frameworks, covering consent management, data minimisation, and breach notification obligations. With THB 21.5 million in fines already levied in 2025 — including against data processors — we ensure your team understands both controller and processor obligations when deploying AI systems that handle personal data.

How will Thailand's draft AI Law affect healthcare AI systems?

The 2025 Draft Principles of the AI Law introduces risk-based classification. Healthcare AI applications handling patient data are likely to fall under 'High-risk AI,' requiring strict governance, transparency, and human oversight duties. We help your team build compliant frameworks ahead of the law's expected 2026 formalization.

What funding is available for healthcare AI training in Thailand?

DEPA offers d-transform grants up to THB 200,000 for digital upgrades, and qualifying SMEs can claim a 200% tax deduction on digital expenses up to THB 300,000. BOI also grants corporate income tax exemptions for healthcare technology investments under priority activity categories.

Can this training be delivered in Thai?

We use a hybrid delivery approach — core AI concepts in English for international best-practice context, with Thai-language debriefing sessions and hands-on exercises. This matches Thai corporate training best practices for deep learning and emotional connection, adapted for hierarchical management structures.

Are AI diagnostic tools accurate enough to be trusted for patient care?

AI imaging tools achieve 90-95% sensitivity for many conditions (pneumothorax, fractures, intracranial hemorrhage), often matching or exceeding radiologist performance. However, AI is a decision support tool, not a replacement for radiologist judgment. We teach validation frameworks ensuring AI recommendations are clinically safe.

Do AI imaging tools require FDA or MOH regulatory approval?

Yes, if they provide diagnostic output influencing clinical decisions. Many AI radiology tools are FDA-cleared Class II medical devices. We cover regulatory pathways, approval requirements, and post-market surveillance during training.

Will radiologists resist AI, fearing job replacement?

Most radiologists welcome AI for routine tasks (triage, measurements, preliminary screening) as it reduces burnout and allows focus on complex cases. We teach change management strategies emphasising AI as augmentation, not replacement, of radiologist expertise.

Can AI pathology tools work with our existing digital pathology scanners?

Most AI pathology platforms integrate with major scanner vendors (Leica, Hamamatsu, Philips) via standard image formats. Integration complexity varies by vendor. We cover technical requirements and IT coordination during training.

What if AI generates false positives, overwhelming radiologists with unnecessary alerts?

AI models require calibration to balance sensitivity and specificity. We teach threshold tuning, performance monitoring, and feedback loops to optimise AI alert rates. Expect 2-3 months of iterative refinement post-deployment to achieve clinical workflow fit.

AI Diagnostic Support & Medical Imaging in…

AI Landscape in Thailand

Thailand's AI market is forecast to reach USD 1.16-1.84 billion in 2025-2026, growing at 26-35% annually, yet enterprise AI adoption stands at only 17-32% with 72% of businesses stuck on basic use cases. Thailand's draft AI Law (2025) introduces a risk-based classification system with 'High-risk AI' categories that will subject healthcare AI applications to strict governance and transparency duties once formalized in 2026. The Worldcoin case — where authorities ordered deletion of 1.2 million users' biometric data — underscores Thailand's increasingly aggressive PDPA enforcement around sensitive personal data. A critical shortage of roughly 80,000 digital professionals constrains AI expansion, with 47% of businesses citing lack of digital skills as the main barrier and only 34% of employees having received digital skills training in the past year.

Key Challenges in Thailand

PDPA Compliance Uncertainty — Thailand's PDPA enforcement has escalated rapidly, with THB 21.5 million in fines across five cases in 2025 alone — now extending to data processors, not just controllers. Many organisations lack clarity on how AI systems handle personal data under these evolving requirements.
Draft AI Law Risk Classification — Thailand's 2025 draft AI Law will classify healthcare AI as 'High-risk,' requiring strict governance, transparency, and accountability measures. Clinics and hospitals need to build compliant AI frameworks now before the law is formalized in 2026.
Sensitive Data Handling After Worldcoin Precedent — Thai authorities ordered Worldcoin to delete biometric data of 1.2 million users, signaling aggressive enforcement around sensitive personal data. Healthcare providers handling patient data through AI systems face heightened scrutiny.
Thai-Language and Cultural Training Gap — Effective corporate AI training in Thailand requires a hybrid approach — delivering core concepts in English for multinational context, then debriefing in Thai for emotional connection and deep learning. Most international providers fail to adapt to Thai hierarchical communication norms and learner preferences for interactive, high-energy formats.
Underutilised Government Incentives — Many Thai SMEs are unaware of available AI funding — including DEPA grants up to THB 200,000, the 200% digital tax deduction (effective June 2025), and BOI tax holidays of up to 13 years. Without guidance, businesses miss significant cost offsets for AI training and implementation.

Why Pertama Partners in Thailand

Unlike local providers such as iApp Technology (focused on Thai-language AI products) or Data Wow (data labeling and ML development), Pertama delivers applied AI capability-building through structured training programmes with measurable business outcomes. While Accenture and Deloitte Thailand offer strategic advisory at premium price points, Pertama provides hands-on, practitioner-level training designed for mid-market organisations — with Southeast Asian delivery expertise across multiple ASEAN jurisdictions. The government-backed THAI Academy and Oracle-DEPA programmes offer foundational AI literacy, but lack the industry-specific, applied focus that Pertama's sector-tailored programmes deliver. Pertama bridges the gap between generic AI awareness and practical business transformation.

Training is delivered using a hybrid English-Thai approach: core AI concepts and frameworks in English for international context, with Thai-language debriefing, discussion, and hands-on exercises for deep learning and emotional connection. Workshop design incorporates high-energy, interactive elements, games, and team competition to match Thai learner preferences — avoiding passive lecture formats that cause disengagement. Content respects Thai hierarchical management norms (kreng jai) with consensus-building exercises and indirect feedback mechanisms rather than confrontational case studies. Flexible delivery modes include on-site instructor-led training (ILT), live virtual (VILT), and blended formats. Bangkok-based delivery standard; regional delivery available.

Market Size

$3.5 billion AI market by 2030

What you'll achieve

Problems you'll solve

Radiologists overwhelmed by 80-120 studies per day, increasing diagnostic errors and burnout
Critical findings (hemorrhage, pneumothorax, fractures) delayed 2-6 hours due to lack of AI triage
Subtle abnormalities missed due to fatigue, time pressure, and variation in radiologist experience
Pathology workflow bottlenecked by manual slide review taking 15-25 minutes per case
Diagnostic reporting delays of 24-72 hours due to manual dictation and transcription
Specialist shortages across Southeast Asia limiting capacity to handle growing imaging volumes

Value you'll gain

Capacity Expansion: Handle 30-50% more imaging studies with same radiology team using AI pre-screening and triage
Speed Improvement: Reduce critical finding notification from 2-4 hours to <15 minutes using AI urgent case flagging
Accuracy Enhancement: Decrease diagnostic error rates by 15-25% through AI second-read and consistency checks
Time Savings: Cut reporting time by 40-60% using AI-generated preliminary reports and structured findings
Quality Improvement: Detect subtle abnormalities earlier using AI sensitivity to patterns invisible to human eye
Cost Efficiency: Avoid hiring 3-5 additional radiologists by augmenting existing team with AI assistants

YOUR PATH FORWARD

From Readiness to Results

Every AI transformation is different, but the journey follows a proven sequence. Start where you are. Scale when you're ready.

ASSESS · 2-3 days

AI Readiness Audit

Understand exactly where you stand and where the biggest opportunities are. We map your AI maturity across strategy, data, technology, and culture, then hand you a prioritized action plan.

Get your AI Maturity Scorecard

Choose your path

TRAIN · 1 day minimum

Training Cohort

Upskill your leadership and teams so AI adoption sticks. Hands-on programs tailored to your industry, with measurable proficiency gains.

Explore training programs

DEPLOY · 4-5 days