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AI Use Case Development & Delivery
• Conduct workshops with business units (e.g., P&C, Production, Marketing) to identify repetitive processes suitable for automation.
• Translate business use cases into technical requirements and workflows (e.g., define data inputs, model type, evaluation metrics).
• Build prototypes using AI tools (e.g., ChatGPT, Blockbrain, or other models) for validation.
• Collaborate with process owners to define success criteria and measure business impact.
• Document use case concepts and progress in the AI Use Case Tracker or project documentation template.
• Support rollout and testing of AI assistants or copilots for internal departments.
Data & Technical Implementation
• Clean and preprocess datasets from SAP, CRM, or production systems for AI model training if needed for a use case.
• Test integration of AI models or APIs into existing business systems (e.g., Magento, Office 365, Power BI).
• Work with IT and data teams to ensure secure access to relevant data sources.
• Prepare documentation of data lineage and model configuration for compliance purposes.
Collaboration & Enablement
• Support AI Ambassadors in preparing and running AI ideation sessions.
• Conduct “AI Tool of the Month” demos to showcase practical AI applications for daily work.
• Assist departments in setting up custom GPTs or AI copilots for their workflows.
• Answer employee questions about data privacy, tool access, or prompt best practices.
• Develop short internal tutorials (text or video) explaining how to use specific AI tools effectively.
• Gather feedback from users and summarize key insights.
Monitoring & Continuous Improvement
• Maintain an overview of all active AI projects and their maturity stages (PoC, pilot, rollout).
• Monitor performance KPIs and generate monthly reports on impact (e.g., saved hours, cost efficiency).
• Collect lessons learned after each project and update the AI knowledge base.
• Research emerging trends such as multimodal AI, RAG pipelines, EU AI Act classification systems, Agentic AI, etc.
• Evaluate new AI vendors or SaaS tools for potential integration.
• Suggest improvements to internal AI governance templates and checklists.
Governance & Quality Assurance
• Review AI project documentation to ensure compliance with internal and EU AI guidelines.
• Perform risk assessments for high-impact or sensitive AI use cases.
• Check model explainability and create documentation for audit readiness if needed.
• Support the Team Lead in preparing AI review sessions with leadership or data protection officers.
• Ensure that data handling and model training adhere to security and privacy standards.
• Maintain a clear registry of AI applications used within the organization.
For over 80 years, at ERBACHER the food family we have been developing innovative solutions in animal nutrition for livestock and pets, as well as producing high-quality food, made possible by the dedication of our teams in Germany, Ukraine, Tanzania, and Poland.
Step by step, we turn ideas into innovations that have a real impact on everyday life, and every project is based on collaboration, mutual respect, and commitment. At ERBACHER the food family, we believe in a good tomorrow… and we create it.
We are looking for people who want to create a good tomorrow together with us.