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.
Why APAC AI Projects Fail in Year Two (And How to Not Be That Case Study)
Year one of an enterprise AI project is almost always a success. By year two, 40–60% have stalled, been deprioritised, or quietly discontinued. The failure is rarely technical. Here is what actually happens, and what to do differently.
Five Ways Enterprise AI Projects Fail in APAC — and What to Do Instead
Pattern recognition from 30+ engagements across nine markets. The failures are remarkably consistent.
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.
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.
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.
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.
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