Why Japanese Enterprise AI Pilots Stall — and What to Do About It
Most enterprise AI pilots in Japan die between proof-of-concept and production. We break down the three systemic reasons and what a realistic path forward looks like.
Insights
Insights
Practical writing on AI agent deployment, DX strategy, and enterprise integration — from the team that does this every week.
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Connecting kintone to an AI Agent: What We Learned From 10 Implementations
kintone is in thousands of Japanese enterprises. We have connected it to AI agents more than ten times. Here is what works, what breaks, and how we handle it.
The Five-Week AI Agent Deployment: A Week-by-Week Breakdown
We run every Askhub implementation in five weeks. This post walks through each week in detail — what we do, what you do, and what can slow things down.
LLM Selection for Japanese Enterprise: GPT-4o vs Claude vs Gemini in Real Deployments
Which LLM performs best for Japanese-language business queries? We compare outputs from three leading models across real enterprise knowledge-base scenarios.
How an HR Department Cut Policy Lookup Time With an Internal Knowledge Agent
A composite case study from our implementations: how an HR team at a mid-sized manufacturer deployed an internal knowledge agent and stopped spending half the day answering policy questions.
Data Sovereignty and AI Agents: What Japanese Enterprises Need to Know
APPI revisions, cross-border data flows, and on-premise LLM options — a practical guide for DX leaders navigating data residency requirements when deploying AI agents.