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.
Multi-Agent AI Systems: Enterprise Design Patterns for APAC Deployments
The first generation of enterprise AI was single-agent: one model, one task, one output. Multi-agent systems unlock compound tasks — but they introduce orchestration complexity and new failure modes. Here are the patterns that work in production.
Securing AI Agents in APAC Enterprise: A Practical Threat Model
AI agents that can take actions — send emails, update CRM records, query databases — create new attack surfaces that traditional application security does not cover. Here is how to build a threat model for production agent deployments.
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.
Agentic AI: Separating the Signal from the Noise in 2026
Every AI vendor is selling agentic AI. Every conference panel is discussing agentic AI. Most enterprise deployments of "agentic AI" are not agentic AI. A clear-eyed assessment of what the technology can actually do in enterprise contexts in 2026 — and where the real deployments are working.
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.
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