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.
Professional Services AI in APAC 2026: Legal, Accounting, and Consulting Transformation
Legal, accounting, and management consulting are among the highest-value AI adoption sectors in APAC — driven by document-intensive cross-border transactions that span multiple languages and legal systems. A practitioner guide to APAC professional services AI: multilingual document intelligence, Big Four audit transformation, transfer pricing AI, ESG reporting, Harvey AI in law firms, and what consulting's AI disruption means for mid-market advisory firms.
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.
Real Estate and Proptech AI in APAC 2026: Lease Intelligence, Smart Buildings, and the Data Transparency Gap
Real estate is APAC's largest asset class — and one of the most data-constrained sectors for AI. A practitioner guide to property and proptech AI in Asia: lease document abstraction and portfolio management, construction document intelligence, smart building energy optimisation, AVM valuation models in transparent vs opaque markets, and REIT portfolio AI across Singapore's S-REIT, Hong Kong's H-REIT, and Japan's J-REIT sectors.
Technology Sector AI in APAC 2026: SaaS Companies, Infrastructure Providers, and the AI-Native Wave
The technology sector is simultaneously the largest producer and consumer of AI in APAC — building AI into products, using AI to accelerate development, and competing with AI-native challengers. A practitioner guide to how APAC technology companies are responding: AI-assisted software development, the AI-native startup threat to legacy SaaS, infrastructure AI for cloud providers, and the talent and model strategy decisions that separate AI leaders from laggards.
Data Readiness for AI: The APAC Enterprise Playbook
67% of APAC AI pilots that failed to reach production cited data quality or availability as a primary factor — yet only 23% of enterprises ran a formal data readiness assessment before starting. A practical framework covering the five dimensions of data readiness (quality, volume, labelling, governance, infrastructure), a 20-point pre-project checklist, and use-case-specific minimums for the most common APAC enterprise AI applications.
AI Change Management and Workforce Adoption: The APAC Playbook
Most enterprise AI deployments fail not because the technology doesn't work — but because the organisation doesn't adopt it. A practitioner playbook on AI change management in APAC: the cultural dynamics that derail Western frameworks (hierarchy, face culture, collective identity), five phases of adoption from awareness to expansion, the internal roles that sustain adoption, and the metrics dashboard that shows you whether you're stalling.
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.
Webinar Recap: Agentic AI in Enterprise — What Actually Works in Production
Recap of AIMenta's April 2026 webinar on enterprise agentic AI deployment: where multi-agent systems succeed, where they fail, what orchestration patterns hold up at scale, and the hidden operational costs most pilots don't surface.
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.
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.
EU AI Act Implications for Asian Companies Selling Into Europe
The EU AI Act is now in force. Here is what changes for Asian companies that sell AI-enabled products or services into European customers.
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