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.
Agentic AI: Separating the Signal from the Noise in 2026
Every AI vendor is selling agentic AI. Every conference panel is discussing agentic AI. Most enterprise deployments of "agentic AI" are not agentic AI. A clear-eyed assessment of what the technology can actually do in enterprise contexts in 2026 — and where the real deployments are working.
What Asian Mid-Market AI Pilots Actually Cost in 2026
Total cost ranges by use case, with the infrastructure-versus-services split that most boards never see on a single slide.
Asia AI Regulation Snapshot — Q2 2026
A side-by-side of the live AI regulatory regimes across nine Asian markets, and what it means for procurement teams.
AI in Asian Banking: 6 High-ROI Use Cases Beyond Chatbots
Six AI use cases delivering measured ROI in Asian banks today, with the deployment patterns that make them work.
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.
Why customer service is the right AI first project
Three reasons we keep recommending customer service automation as the first AI deployment — and one warning.
AI Procurement in Asia Has Changed. Here Is What You Need to Know in 2026.
Data residency requirements, model card expectations, and audit committee scrutiny have all tightened since 2023. The procurement checklist needs an update.
RAG vs Fine-Tuning vs Prompting: Which Pattern Fits Your Use Case?
Three deployment patterns, three sets of trade-offs. A decision tree that picks the right one for your AI use case in under five minutes.
Build vs Buy vs Partner: An AI Decision Framework for Mid-Market Asia
A six-question test that tells you whether to build the AI capability in-house, buy a vendor product, or partner with a specialist firm.
Building AI platform teams that ship
Recording and artifacts from our recent session with CTOs across the region.
Manufacturing AI in Greater China: Computer Vision QC, Predictive Maintenance, OEE
Three manufacturing AI use cases delivering measured value in Greater China today, with the integration patterns that make them work on the factory floor.
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