
Your supply chain runs on schedules. But when two companies use different systems, aligning production is a manual nightmare — full of back-and-forth, missed windows, and human error.
What if an AI agent could handle all of that for you?
In this live demo, Stefan Schüller (Solutions Architect, AWS) and Peter (Applied Automotive Engineer, Celonis) show how autonomous AI agents — built on Amazon Bedrock Agent Core and powered by Celonis process intelligence — can coordinate production schedules across partner systems, without a single manual step.
Watch the agent in action as it:
📋 Pulls all open orders directly from the Celonis environment
🔍 Identifies which orders are ready for partner scheduling
📅 Cross-checks partner availability via a live calendar API
✅ Autonomously books the appointment and writes the result back into Celonis
No copy-paste. No emails. No waiting. Just a fully autonomous workflow — from order to scheduled appointment.
Under the hood:
Celonis MCP Server — exposes order data, partner info, and resources to the agent
Amazon Bedrock Agent Core — serverless runtime for deploying and scaling agents
Agent Core Gateway — unified hub for managing MCP servers and APIs
Agent Core Identity — scoped access control for every agent
Agent Core Observability — full tracing of every tool call, request, and response
Strands SDK — open-source agent development framework from AWS
As Peter puts it: "AWS builds the agent. Celonis provides the playbook."
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