Agentic Frameworks for Shopfloor Roles
Architect the integration of autonomous AI agents capable of direct ERP and shop-floor intervention.
Five modules provide the technical framework for multi-agent orchestration, the bridging of machine APIs to business logic, and the risk-mitigation protocols for autonomous decision-making in production environments.
Start Dates
On Request
*Corporate Team Booking Only
Level
Advanced
Duration
16 hours total | 2-Day Intensive
1 Day Architectural Lab
1 Day On-Site Integration
Language
English or German (customer's choise)
Course Fee
On Request
*Project-based calculation
Certificate
Industrial Agent Architect
Course Outline
This technical briefing focuses on the deployment of AI agents capable of triggering autonomous actions in ERP/SAP environments without manual intervention.
The curriculum provides the logic for Multi-Agent Orchestration and Autonomous Decision-Logic, enabling System Architects to establish a digital infrastructure that monitors OEE, identifies bottlenecks, and independently reroutes production materials based on real-time data.
The Problem Solved
Systemic Autonomy: Elimination of manual data entry and intervention constraints. Transition from advisory AI to autonomous agents capable of independent ERP/SAP execution and material rerouting.
Key Skills & Competencies
1. Decision-Logic Architecture: Defining rigid rules of engagement for AI actors.
2. API Protocol Bridging: Technical integration of machine hardware and enterprise logic.
3. Multi-Agent Coordination: Managing distributed AI agents in complex workflows.
Course Modules
1. Mission Definition: Setting functional boundaries for autonomous agents.
2. The API Bridge: Architecting the ERP-to-Hardware interface for action-triggers.
3. Conflict Resolution Logic: Protocol design for contradictory production goals.
4. Safe-Stop Infrastructure: Implementing emergency manual overrides and fail-safes.
5. Autonomous Oversight: Performance dashboards for non-manual decision-monitoring.
Learning objectives and format
By the end of the course, your team will have mastered the deployment of agentic frameworks and the technical integration of autonomous API bridges. The 16-hour curriculum covers decision-logic, conflict resolution, and safe-stop protocols to establish a self-optimizing autonomous production ecosystem.
Key Objectives
- Define the technical boundaries for autonomous agents in 24/7 production
- Establish secure API bridges between machine hardware and ERP/SAP logic
- Orchestrate specialized AI agents to manage multi-step material flows
- Design automated conflict resolution for overlapping agent objectives
- Integrate "Human-in-the-Loop" overrides to maintain manual sovereignty
- Build oversight dashboards to monitor autonomous decision-logs and ROI
Learning Format
- Orchestration Sandbox: Simulate multi-agent logic using active ERP datasets
- API Bridge Lab: Technical configuration of triggers between AI and machine interfaces
- Conflict Stress-Testing: Evaluation of agent logic against contradictory production KPIs
- Site-Specific Mapping: Applying the agentic framework to existing production lines
- Sovereignty Audit: Verification of on-premise data handling and local agent logic
Who is this course for?
Prerequisites
Advanced systems literacy and ERP/API proficiency
Target Audience
Systems Architects, Digital Transformation Leads, and Senior Automation Engineers.
