Research & playbooks
for shipping AI in Asia.
Frameworks we use in client engagements, plus original research on AI adoption across the markets we operate in. No hype, no rehashed Western reports.
Indonesia PDP Law: What AI Teams Must Do Before October 2026
Indonesia's Personal Data Protection Law comes into full force in October 2026. If your organisation processes Indonesian personal data through AI systems — and most enterprise AI does — here is the six-step compliance checklist with six months to go.
Securing AI Agents in APAC Enterprise: A Practical Threat Model
AI agents that can take actions — send emails, update CRM records, query databases — create new attack surfaces that traditional application security does not cover. Here is how to build a threat model for production agent deployments.
AI Change Management and Workforce Adoption: The APAC Playbook
Most enterprise AI deployments fail not because the technology doesn't work — but because the organisation doesn't adopt it. A practitioner playbook on AI change management in APAC: the cultural dynamics that derail Western frameworks (hierarchy, face culture, collective identity), five phases of adoption from awareness to expansion, the internal roles that sustain adoption, and the metrics dashboard that shows you whether you're stalling.
Webinar Recap: APAC AI Procurement 2026 — How to Select Vendors Without Getting Burned
Recap of AIMenta's April 2026 webinar on enterprise AI vendor evaluation. Covers the 9-question procurement checklist, red flags from 60+ vendor evaluations, data residency traps, contractual gotchas, and how to structure a pilot that actually predicts production performance.
AI Governance for Asian Enterprises: Mapping HK PCPD, SG PDPA, JP APPI, KR PIPA, CN PIPL
A side-by-side mapping of the five most important AI-relevant data regimes in Asia, with the practical compliance steps each requires.
EU AI Act Implications for Asian Companies Selling Into Europe
The EU AI Act is now in force. Here is what changes for Asian companies that sell AI-enabled products or services into European customers.
Why 70% of Enterprise AI Pilots Fail to Reach Production (and the 30% That Don't)
A pattern analysis of 41 mid-market AI pilots across Asia in 2024-2025, with the four traits that separate the survivors.
Responsible AI in Practice: A NIST AI RMF Walkthrough for Operators
The NIST AI Risk Management Framework is the most useful free resource in responsible AI. Here is how to actually apply it in a mid-market enterprise.
Webinar Recap: AI Governance in APAC — What the MAS, HKMA, and APPI Frameworks Require in Practice
Seventy-three attendees across six markets joined our February session on operationalising AI governance requirements. Key questions and answers from the session.
Healthcare AI Compliance in HK, SG, and JP: A Practitioner's Guide
Healthcare AI sits at the intersection of strict privacy law, sectoral regulation, and clinical risk. Here is the practitioner view across three Asian markets.
Hallucination Risk: A Practical Containment Framework for LLM Deployments
Hallucinations cannot be eliminated. They can be contained. Here is the four-layer containment framework that production LLM systems use.
Reading the AI Vendor Hype: 9 Questions to Ask Before You Sign
Nine questions that separate vendors who can deliver in production from vendors who demoed well. Use them in your next vendor meeting.
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