Proof-backed capability
S/4HANA talent and proof patterns
Explore professionals, projects, and reusable Proof Patterns connected to S/4HANA.
Connected Proof Patterns
Reusable patterns that demonstrate S/4HANA in delivered enterprise work.
AI-Enabled Invoice Automation on SAP BTP
End-to-end clean-core orchestration of invoice intake, validation, exception handling, and posting on SAP BTP
Problem
Accounts payable teams spend significant manual effort on invoice processing — handling intake from email, EDI, PDFs, and supplier portals; reconciling against POs and goods receipts; and chasing exceptions before the invoice can be posted in SAP. Throughput, accuracy, and period-end close all suffer.
Pattern
Ingest invoices from multiple channels (email, EDI, PDF, supplier portal) into a single intake layer on SAP BTP → Extract and validate header and line-item data with AI, beyond raw OCR
AI-Assisted ABAP Development
Four concepts for augmenting ABAP development with AI-assisted patterns
Problem
ABAP development in modern S/4HANA landscapes is increasingly complex — clean core constraints, RESTful ABAP Programming Model (RAP), and evolving best practices create a high cognitive load for developers working without real-time guidance.
Pattern
Use MCP-connected AI assistants to query SAP documentation and RAP patterns in-context → Generate ABAP class stubs, CDS view definitions, and behavior definitions from structured prompts
AI-Driven Supply Chain Orchestration
Real-time replanning across procurement, logistics, and manufacturing, driven by external-signal-aware AI on SAP BTP
Problem
Supply chain plans go stale within hours — weather disruptions, port and carrier delays, supplier risk, and demand swings invalidate the plan before it is executed. Reconciling planning, logistics, and manufacturing across disconnected modules and spreadsheets leaves teams reacting to exceptions instead of orchestrating outcomes.
Pattern
Wire SAP IBP, EWM, and Digital Manufacturing through a unified orchestration layer on SAP BTP → Ingest external signals — weather, port and carrier feeds, supplier risk events — alongside SAP transactional data
Intelligent Packaging for Regulated Industries
High-speed packaging operations with autonomous mobile robots, AI condition monitoring, and agent-based exception handling under GxP
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
Professionals with S/4HANA
Demonstrated through projects and connected to reusable Proof Patterns.
2 professionals matched
