Equip your team to navigate Bank of Thailand AI risk management guidelines and PDPA enforcement while transforming finance teams — in a market where compliance fines have already reached THB 21.5 million.
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.
LOCAL CONTEXT
Thailand's 4.0 initiative is driving the country's transition from a manufacturing-based to an innovation-driven economy. Government incentives through BOI and the Skills Development Fund are accelerating AI adoption, particularly in manufacturing, tourism, and financial services.
$3.5 billion AI market by 2030
THE CHALLENGE
“PDPA Compliance Uncertainty”
“Bank of Thailand AI Governance Requirements”
Our team has trained executives at globally-recognized brands
OUTCOMES
FUNDING & SUBSIDIES
Up to THB 200,000 per SME; mini grants up to THB 100,000
SMEs adopting AI tools and training qualify for d-transform grants supporting digital capability building.
Official Source200% deduction on qualifying digital expenses up to THB 300,000 (effective June 2025 - December 2027)
Qualifying AI training and digital services expenses can be claimed at 200% for tax purposes, effectively halving the net cost.
Official SourceREGULATORY LANDSCAPE
Thailand's PDPA (B.E. 2562), fully enforced since June 2022, governs all personal data processing with civil fines up to THB 5 million per violation and criminal penalties including imprisonment. In 2025, the PDPC levied THB 21.5 million in fines, extending enforcement to data processors. The Bank of Thailand AI Risk Management Guidelines (September 2025) mandate board accountability, human oversight, customer notification, and OWASP ML Security Top 10 compliance for all AI systems used by financial service providers. The draft AI Law (2025) introduces 'Prohibited-risk' (social scoring, subliminal manipulation) and 'High-risk' categories with strict governance duties, targeted for formalization in 2026.
CHALLENGES IN THAILAND
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.
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.
OUR PROCESS
We learn about your organization, current AI maturity, and specific objectives to customize the program.
We tailor content, examples, and exercises to your industry and use cases.
Interactive, hands-on sessions with real-world applications and immediate practice.
Post-program support, resources, and optional coaching to ensure lasting adoption.
IS THIS RIGHT FOR YOU?
Finance teams of 5+ handling complex reporting requirements
CFOs wanting to free analysts from manual work for strategic analysis
Organizations in regulated industries with heavy compliance burden
Companies with large datasets underutilized for financial insights
Small businesses with simple bookkeeping needs
Teams looking for accounting software recommendations (not AI training)
Organizations without structured financial data to work with
See yourself above? Let's talk about AI for Finance Teams in Thailand.
Let's TalkCOMMON QUESTIONS
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WHY PERTAMA PARTNERS
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.
Let's discuss how ai for finance teams can help your organization in Thailand.
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