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.
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.
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 Strategy in 90 Days: A Practical Framework for CFOs
A week-by-week plan a CFO can run to take an enterprise from "we should do something with AI" to a funded portfolio with measurable expected value.
Building an Internal AI Platform: Reference Architecture for 200-1,000 Person Companies
A reference architecture for an internal AI platform sized for mid-market enterprises, with the components that pay back and the components that do not.
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.
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.
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