AI Agents talent and proof patterns

Problem

Production engineers, shop-floor operators, and warehouse teams operate across siloed tools — engineering systems, MES, EWM, transport — losing time on context-switching and manual hand-offs. Insight from one stage rarely closes the loop back into the next, and non-technical operators have no natural way to drive the system.

Pattern

Connect engineering, CNC production, and logistics through SAP Digital Manufacturing as the unifying layer → Surface AI-driven dashboards that close the loop from production data back into engineering and warehouse decisions

Problem

Packaging lines in regulated industries — pharma, life sciences, medical devices — must hit high throughput while preserving GxP compliance and full traceability. Manual condition checks and human-routed exceptions slow the line and introduce variability — both operationally costly and compliance-risky.

Pattern

Coordinate autonomous mobile robots (AMRs) on the packaging line via an SAP-integrated control plane → Stream sensor and machine telemetry into AI-driven condition monitoring with predictive maintenance triggers

Problem

Warehouse operations need flexible automation that adapts to mixed-SKU, high-variability tasks where fixed conveyors and shuttles fall short. Humanoid robots offer that flexibility but rarely integrate cleanly into SAP EWM, leaving operations teams without a unified control surface or a SAP-supported audit trail.

Pattern

Expose SAP EWM warehouse tasks to humanoid robotics platforms via a BTP integration layer → Translate EWM task objects into robot-executable plans without modifying the SAP core