Stop playing human middleman between your plant and suppliers: let an AI agent load ready orders, check partner calendars, pick an open slot and write the appointment back into your process system: AI agent prompt
An AWS case study with Celonis shows an autonomous scheduling agent for automotive and manufacturing order-to-delivery: built with the Strands SDK on Amazon Bedrock AgentCore and connected through a Celonis MCP Server. The agent loads orders ready for partner scheduling, retrieves partner resources, checks third-party calendar APIs for conflicts, applies partner customizations, books the slot and writes the outcome back via Celonis action flows. AgentCore Identity scopes what the agent can call; Observability logs every tool call back into Celonis for review. Celonis’s Peter Hofmann frames AWS as building the agent and Celonis as providing the playbook and rules.
The prompt
1. Write down which orders are ‘ready for partner scheduling’ and which partner systems hold availability (calendar API, shared sheet, portal). 2. Expose four tools to an agent: list ready orders, get partner capacity, propose/book a slot, write the booking back to your process system. 3. Rules: never double-book; prefer the earliest conflict-free slot within [SLA]; if no slot fits, open a human exception with the reason. 4. Run in suggest-only mode for one week—agent proposes, a planner confirms—then compare lead time and manual touches to the old process. 5. Keep an audit log of every tool call and booking; feed misses back into the rules. 6. Only then allow auto-write for a narrow order type.
How to use it
- Copy the prompt above.
- Replace every [bracket] with your own details (or fill in the blanks on AgentPlaybook Real Estate, which remembers your answers for the next prompt).
- Paste it into Amazon Bedrock AgentCore, Strands SDK, Celonis MCP Server and review the answer before you use it.
Works with: Amazon Bedrock AgentCore, Strands SDK, Celonis MCP Server, partner calendar APIs
Real-world example: aws.amazon.com/solutions/case-studies/celonis-agentcore-case-study/
Before you use it: what to check
Already built into this prompt
- Run in suggest-only mode for one week—agent proposes, a planner confirms—then compare lead time and manual touches to the old process.
Check yourself
- Check names, dates, numbers and any claim against your own source material before you use the answer. AI can misread or invent details.
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