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.
Enterprise AI Evaluation Framework: How to Select the Right LLM for Your Workload
Generic benchmarks are not enterprise procurement. Here is a structured evaluation framework for selecting AI models that fit your specific APAC workloads, compliance requirements, and operational constraints.
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.
Agentic AI in Production: Lessons from 12 Mid-Market Deployments
Twelve production agentic AI deployments across Asia in 2024-2025, with the patterns that worked, the patterns that did not, and what is replicable.
AI-Washing in APAC: How to Tell Real AI from Marketing Copy
Every vendor claims AI. Most mean automation, keyword matching, or a GPT wrapper. Here is how to tell the difference in a procurement conversation.
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.
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.
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