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.

Does this training cover the Bank of Thailand's AI Risk Management Guidelines?

Yes. The BOT issued AI Risk Management Guidelines in September 2025 requiring board accountability, human oversight, customer notification for AI interactions, and OWASP ML Security Top 10 measures. Our training maps directly to these requirements for both in-house and third-party AI systems.

How does this programme help with cross-border ASEAN compliance?

We cover regulatory requirements across BOT, MAS, OJK, and BNM jurisdictions, with frameworks for managing AI compliance obligations simultaneously. This is critical for Thai financial institutions operating regionally.

Are there government incentives available for financial services AI training?

BOI investment promotion offers corporate income tax exemptions of up to 13 years for AI and digital technology investments. The Thai Cabinet also approved a Qualified Refundable Tax Credit (QRTC) at 30-50% for R&D and advanced skills development, with unused credits refundable in cash.

Will AI chatbots replace our contact center agents?

Not entirely. AI chatbots deflect routine inquiries (70%+ of volume), freeing agents to handle complex cases requiring empathy, judgment, and relationship-building. The training focuses on hybrid models where AI and humans complement each other.

How accurate are AI churn prediction models?

Accuracy varies by data quality and customer behavior predictability. Mature models achieve 70-85% accuracy identifying at-risk customers 30-60 days before churn. We teach model evaluation, A/B testing, and continuous improvement to maximise ROI from retention campaigns.

Can AI personalisation work with limited customer data?

Yes, through collaborative filtering and lookalike modeling. Even with sparse data, AI can make recommendations based on similar customer segments. As you collect more behavioral data (app usage, transaction patterns), personalisation accuracy improves over time.

Do we need technical teams to manage AI chatbots, or can CX teams do it?

Modern chatbot platforms offer no-code training interfaces allowing CX teams to update intents, responses, and conversation flows. However, initial setup and integration typically require IT/data team support. The training covers both business user and technical admin perspectives.

How do we ensure AI recommendations comply with fair lending and consumer protection rules?

We teach fairness testing, bias detection, and regulatory alignment frameworks. You'll learn to document AI decision logic, implement human oversight for high-stakes offers (credit, insurance), and build audit trails demonstrating compliance with MAS, OJK, BNM, and BSP consumer protection guidelines.

AI Customer Experience for Banking & Insurance 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. The Bank of Thailand issued AI Risk Management Guidelines in September 2025, requiring boards to establish AI accountability, embed human oversight, and implement OWASP ML Security Top 10 measures for both in-house and third-party AI systems. PDPA enforcement has intensified sharply — in 2025 alone, the PDPC announced THB 21.5 million in administrative fines across five cases, extending liability to data processors and targeting security control deficiencies. 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.
Bank of Thailand AI Governance Requirements — The BOT's September 2025 AI Risk Management Guidelines require board-level accountability, human oversight, customer notification for AI interactions, and OWASP ML Security measures. Financial institutions need structured training to meet these obligations for both in-house and third-party AI.
Cross-Border Regulatory Complexity — Thai financial firms operating across ASEAN must navigate BOT guidelines alongside MAS, OJK, and BNM requirements simultaneously. Manual compliance monitoring across jurisdictions is unsustainable as regulatory changes accelerate.
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

Contact centers overwhelmed with 40-60% of inquiries being routine questions resolvable by AI chatbots
Customer churn at 15-25% annually due to inability to identify and intervene with at-risk customers
Marketing campaigns delivering sub-2% conversion due to generic, untargeted product offers
Customer wait times averaging 8-15 minutes during peak hours, driving negative satisfaction scores
Digital channel adoption stagnant because customers lack personalised onboarding and education
Claims and support case resolution taking 7-14 days due to manual document processing

Value you'll gain

Cost Reduction: Lower contact center costs by 30-50% through AI chatbot deflection of routine inquiries
Revenue Growth: Increase cross-sell conversion by 3-5x using AI personalised product recommendations
Churn Prevention: Reduce customer attrition by 20-30% through AI early warning and retention interventions
Speed Improvement: Resolve 70% of support cases instantly via AI self-service instead of 24-48 hours
Satisfaction Gains: Improve NPS by 15-25 points through faster, more personalised customer interactions
Efficiency Gains: Free customer service teams to focus on complex cases requiring empathy and judgment

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 · 3-4 days