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.
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.
Hong Kong's AI Ecosystem in 2026: Funding, Talent, Policy
A practitioner snapshot of Hong Kong's AI ecosystem: where the funding sits, where the talent comes from, and what policy is shaping the next 24 months.
From Pilot to Production: An MLOps Maturity Model for Mid-Market Teams
A four-stage MLOps maturity model designed for mid-market AI teams, with the practices to add at each stage and the practices to skip.
The Real Cost of Enterprise AI in APAC: What the Vendor Quotes Leave Out
The model API cost is the smallest number on the total cost of ownership sheet. Here is what the other line items look like.
Data Residency Choices for AI Workloads in HK, SG, JP, KR, TW
A practical guide to where AI workload data should sit across the five most active Asian markets, with the trade-offs that matter.
Webinar Recap: RAG in Production — What Breaks at Scale in APAC Enterprise
Sixty-one engineers and architects attended our January session on retrieval-augmented generation in enterprise production environments. The questions were sharp.
The Mentor Model: Why External AI Teams Fail Without Internal Capability Building
External AI teams that build and leave create dependency, not capability. The mentor model fixes that, with measurable handover criteria.
AI Cost Engineering: How to Drop Inference Costs 60% Without Losing Quality
Production LLM systems often have 50-70% of inference cost going to non-essential work. Five techniques recover most of that, with no quality loss.
Shadow AI: How to Get Visibility Into the AI Your Employees Are Already Using
Your employees are already using AI tools you have not approved. Here is how to discover, catalogue, and bring shadow AI into governance without killing it.
Singapore's National AI Strategy 2.0: What It Means for Mid-Market Adopters
Singapore's NAIS 2.0 sets the policy and investment context for AI through the late 2020s. Here is what it means for mid-market enterprise adopters.
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