5-Department Personas
5 personas — Brand Marketer / Insights / D&A · MarTech / CRM · LG Members / MD · Channel Sales
5 personas — Brand Marketer / Insights / D&A · MarTech / CRM · LG Members / MD · Channel Sales
AMWAY global direct-selling context — ABO Field / Insights / D&A · MarTech / CX / Compliance
Shinkong Mitsukoshi 5-department personas — Marketing, Insights, Digital, VIP, MD
5 departments — Marketing · Category · Search/Recommendation · CS · Logistics
Integrated Marketing · CMI · D&A · OPENPOINT · Manufacturing & Logistics — five departments
Architecture Decision Record documenting principles, scope, responsibilities, and rollback boundaries to be agreed upon before introducing the Self-Improving Agent Loop to production
Self-improving feedback loops and advanced agent design patterns
In-depth technical documentation on the architecture, deployment, and operations of the Agentic AI Platform
Overall system architecture of a production-grade Agentic AI Platform — 6 runtime layers and 3 cross-cutting planes
Architecture design, technical challenges, and AWS Native and EKS-based implementation approaches for the Agentic AI Platform
Guide to building Agentic AI platform using Amazon EKS and open-source ecosystem
25-class KG for AMWAY's ABO multi-level + subscription + global multilingual context (~700K edges)
Integration of 5 BUs + OPENPOINT + own-manufactured SKUs + cold chain (~900K edges)
3-BU integrated KG with 25 classes — Customer / Product / Transaction / Channel / Operations · External
Shinkong Mitsukoshi KG with 25 classes — VIP, foreigner, tenant brand, duty-free, store (~550K edges)
Massive SKU + Live viewing + In-house logistics (~800K edges)
Covers the 1-hour TTL constraint of EKS Kubernetes events, export pipeline design, and AI Agent query architecture based on the EKS and CloudWatch MCP servers.
MRC (Marketing Representative for Customers) sales pitch guide for customer invitations to the 2026-04-09 Modern Agentic Applications Day.
Core architecture and technical challenges of Agentic AI platforms
Strategic selection guide for building Agentic AI platforms in AWS environments
5 key challenges faced when operating Agentic AI workloads