AI Attendee Engagement & Experience Design in Thailand

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.

Thai businesses can access multiple incentives: DEPA grants up to THB 200,000 for digital transformation, a 200% tax deduction on qualifying digital expenses for SMEs (effective June 2025 through December 2027), BOI corporate income tax exemptions up to 13 years for AI investments, and the new Qualified Refundable Tax Credit at 30-50% for advanced skills development.

We deliver using a hybrid English-Thai approach with high-energy, interactive workshops that match Thai learner preferences. Content respects hierarchical management structures and the kreng jai norm of maintaining group harmony, using consensus-building exercises rather than confrontational case studies.

The 2025 Draft Principles of Thailand's AI Law introduces risk-based classifications including 'Prohibited-risk' and 'High-risk' AI categories. Our training builds governance frameworks that anticipate these requirements, so your organisation is prepared when the law is formalized in 2026.

Not at all. Small events often benefit most from AI matchmaking because attendees can't possibly meet everyone — AI ensures they meet the *right* people. Even at 100 attendees, that's 4,950 possible connections. AI helps attendees prioritise the 5-10 highest-value connections instead of random encounters. Many small conference organisers see the biggest networking satisfaction gains.

No. Most AI tools we teach integrate with existing platforms like Whova, Brella, Grip, EventMobi, or Swapcard via APIs. We focus on maximising AI capabilities within your current app or web platform, not forcing you to switch. During the programme, we'll map AI opportunities specific to your existing technology stack.

All AI tools we recommend comply with PDPA (Singapore, Thailand), PDPO (Hong Kong), and Indonesian data protection regulations. We teach opt-in/opt-out consent management for networking matchmaking, data anonymisation for sentiment analysis, and how to communicate AI use transparently to attendees. During hands-on labs, we use synthetic attendee data — no real attendee profiles are required for training.

Absolutely — this is where AI shines. We teach hybrid-specific AI strategies like virtual-to-in-person networking matchmaking, AI moderation that balances in-person and virtual Q&A, sentiment analysis across both audiences, and personalised content delivery that adapts to each format. Many participants report hybrid events are where they see the biggest AI engagement impact.

Absolutely encouraged. During the Use Case Development module, we help you identify the best pilot event (usually one with 200-500 attendees, 1-2 days, medium complexity). You'll leave with an implementation plan for that specific event, test AI tools there, measure results, and then scale learnings across your event portfolio. Most participants see measurable engagement improvements on their first AI-enhanced event.