TrendCart Digital Twin Agentic Architecture — MULTI architecture diagram

About This Architecture

TrendCart's digital twin agentic architecture orchestrates eight specialized AI agents across isolated AWS subnets to automate e-commerce intelligence and customer engagement workflows. Data flows from Shopify Plus through API Gateway and Kinesis into Lambda processors, feeding agents like Twin Builder, Churn Prediction, and Campaign Generation that leverage Bedrock Claude Sonnet with guardrails and knowledge bases. The design isolates presentation, ingestion, agent runtime, delivery, and data layers in separate VPCs with PrivateLink endpoints, Secrets Manager encryption, and comprehensive IAM/CloudTrail audit trails. Fork this diagram to customize agent responsibilities, add new Bedrock models, or adapt the approval workflow through PagerDuty and human reviewers. This architecture demonstrates enterprise-grade multi-agent governance: rate-limiting via SQS buffers, dead-letter queues for resilience, and Step Functions orchestration ensure reliable agentic decision-making at scale.

People also ask

How do you design a secure, scalable multi-agent AI system on AWS with approval workflows and comprehensive monitoring?

TrendCart's architecture isolates eight Bedrock agents across private subnets with Kinesis/Lambda ingestion, SQS rate-limiting and dead-letter queues for resilience, and Step Functions orchestration. Human approval gates via PagerDuty, Secrets Manager encryption, IAM policies, and CloudTrail auditing ensure enterprise governance and compliance.

TrendCart Digital Twin Agentic Architecture

MultiadvancedAWSmulti-agent AIBedrockagentic architectureevent-drivenVPC security
Domain: Cloud MultiAudience: Enterprise cloud architects designing multi-agent AI systems on AWS
3 views0 favoritesPublic

Created by

August 20, 2026

Updated

September 9, 2026 at 9:49 AM

Type

architecture

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