EQUITUS.AI  ·  ARCXA  ·  IBM POWER SCHEMA-MAPPING SERVICE The Intelligence Context Layer for Oracle  →  SAP RISE ONE-PAGE BRIEF May 2026 P11  ·  KGNN  ·  Triple Store   BOTTOM LINE ArcXA replaces flat column-to-column migration with a governed semantic graph. A Knowledge Graph Neural Network reads the graph to auto-infer schema mappings — claiming 70–80% automation of legacy Oracle → SAP S/4HANA conversion, with real-time governance enforcement instead of post-mortem cleanup.   ↳ ARCHITECTURE  ·  HOW IT WORKS FIG 01   PHASE Modeling 01 Source & target both modeled as graphs of triples against a unified ontology. Teams align on business logic, not raw SQL. → Graph Ontologies PHASE Mapping 02 KGNN reads graph geometry to auto-infer field-to-field mappings with confidence scores — the bulk of manual schema work disappears. → 70–80% Automation PHASE Migration 03 System-of-Systems validation enforces governance triples (e.g. requiresEncryption=True) in-flight. Drift is flagged before cutover, not after. → Real-Time Enforcement   IBM DELIVERY   Three service groups  ·  One P11 playbook A  ·  PPA Passport Advantage Catalogs entitlement footprint and visualizes Oracle → Db2 / SAP RISE workload mapping. Proves TCO reduction pre-migration. Licensing  ·  TCO Modeling B  ·  LAB Lab Services Deploys arcxa-coordinator + arcxa-shard into client sandbox. Trains KGNNs on historical migrations to industrialize schema conversion. Architecture  ·  Implementation C  ·  TLS Tech Lifecycle Services Runs ArcXA as persistent governance layer post-migration. Active lineage graph monitors policy drift on Power VS. Ongoing Optimization   “ Teams stop blindly piping rows between schemas. They migrate fully understood enterprise context — so RISE lands clean, compliant, and optimized from day one. Equitus  ·  ArcXA Open Source May 2026 Source: Equitus.ai  ·  ArcXA IBM Power Schema-Mapping Service  ·  May 2026 KGNN  ·  EVS  ·  ARCXA marks © Equitus Corporation