
AIRA
- Context
Corporate IT at Worldline, a payments group. Purpose: measure performance debt in ABAP code migrated to S/4HANA, SAP's ERP.
- Role
Developer, third year at Worldline. Project carried on my own, from scoping to a minimum viable product (scoping, ADRs, tickets, milestones), under a validation mandate from my manager.
- Actions
- ABAP Test Cockpit findings are ingested, then a deterministic rule engine classifies them and computes a performance debt score.
- A governed LLM layer, through SAP Generative AI Hub, only produces the explanation and the recommendation: the rules decide, the model explains.
- AI layer governance: masking, copy control, confidence thresholds, audit log, human validation.
- The Python / Flask application is deployed on SAP BTP / Cloud Foundry with a buildpack, with pinned dependencies (pip-tools), pytest tests and Git version control.
- Result
Minimum viable product.
- Python
- Flask
- SAP BTP / Cloud Foundry
- SAP Generative AI Hub
- pytest



