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AERA

AERA (Autonomous Exception Resolution Agent) is an agentic AI system built for AWS/SAP that autonomously detects, diagnoses, and resolves supply chain exception
  • Indonesia

AERA

Autonomous Exception Resolution Agent — agentic AI for supply chain exception handling on AWS and SAP.

🏆 1st place — AWS / SAP Agentic AI Hackathon, Asia Pacific 2026 (Intelligent Supply Chain track) · 640 teams → 40 finalist teams → 1 winning team · hosted by AWS, SAP, APP and Sokrates BINUS

A supply chain exception rarely arrives as clean data. It arrives as a supplier email, a PDF confirmation, a photo on WhatsApp, a carrier notice. The authority to fix it, meanwhile, lives inside the ERP. AERA closes that gap: it reads the raw signal, grounds every figure in SAP, works out who is affected and how much is at risk, proposes options, and writes the correction back — automatically when the action is small and reversible, with a named approver when it is not. The language model proposes; deterministic code verifies, routes and writes.

AERA overview board

Repository What it is
aera-be Backend, reasoning agent (Strands on Amazon Bedrock AgentCore), deterministic control plane, AWS CDK infrastructure, SAP Mirror, evaluation harness — start here, with the demo video
aera-fe Planner console (React, TypeScript, Cloudscape)

Read more: How it works · Architecture · Safety and governance

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  1. aera-be aera-be Public

    Agentic AI that resolves supply chain exceptions end to end: raw supplier signal to verified, approved, reversible SAP S/4HANA correction. 1st place 🏆, AWS/SAP Agentic AI Hackathon APAC 2026.

    Python

  2. aera-fe aera-fe Public

    Planner console for AERA: case board, live agent trace, sourced figures, phone-first approvals. React + TypeScript + Cloudscape.

    TypeScript

  3. .github .github Public

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