Governance and Traceability

 

Now Offered as an Open-Source Software Solution, Graphixa.ai is part of the Equitus.ai suite of intelligent ingestion services. Graphixa.ai promises to help organize and improve the enterprise data migration efforts with end-end service.

Graphixa.ai acts as the Governance and Traceability Layer in an Oracle-to-SAP/IBM RISE migration. Within the Equitus.ai family, it utilizes the Triple Store Ontology to ensure that data does not just move from point A to point B, but maintains its semantic integrity and auditability throughout the journey.

Graphixa.ai assists in the migration to SAP or IBM DB2 RISE platforms: By adding semantic verification and utilizing the triple store architecture Manual Integration is greatly reduced. Adding a layer of augmentation, automation and authorization to reduce costs and risks in system migrations.

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1. Zero-Blindness Dependency Mapping

Before the migration begins, Graphixa.ai works with Network Eye (Teleseer) to map the "Data-in-Motion."

• The Problem: Oracle databases often have "Shadow IT" or undocumented APIs that rely on them. Moving the database blindly breaks these connections.

• The Graphixa Solution: It ingests PCAP (Packet Capture) data and converts it into Semantic Triples (e.g., App_A ---> queries ---> Oracle_Table_X). This creates a "Live Topology" that identifies exactly what must be refactored or reconnected in the new SAP/IBM environment.

2. Semantic Data Harmonization (Triple Logic)

Migrating from Oracle to SAP/DB2 is not a 1-to-1 mapping; it requires a structural transformation.

• Ontology-First Migration: Instead of simple ETL (Extract, Transform, Load), Graphixa uses Equitus KGNN logic to map data based on meaning. It identifies that "Customer_ID" in Oracle is semantically identical to "BusinessPartner_ID" in SAP.

• Automatic Schema Alignment: By using a Triple Store, Graphixa handles the "looseness" of legacy data, allowing for the ingestion of unstructured notes or legacy comments into the structured fields of the new platform without losing context.

3. "Clean Core" Verification for SAP RISE

SAP's "Clean Core" principle requires getting rid of legacy customizations and keeping the ERP standard.

• Custom Code Analysis: Graphixa identifies which Oracle-specific SQL features (like certain stored procedures) are actually being used by the business.

• Targeted Refactoring: It flags unused "dead code" in the legacy system so you only migrate what is necessary, ensuring your SAP S/4HANA or IBM RISE environment starts "clean."

4. 100% Deterministic Proof of Transit

This is the most critical feature for highly regulated industries (USSF, NIWC, Finance).

• The Audit Chain: For every record landed in IBM DB2 or SAP, Graphixa generates an immutable triple-store receipt:

  • Fact A: Target_Record_001 was generated from Source_Packet_999.

  • Fact B: Source_Packet_999 was verified by Network_Eye at 10:01 AM.

• Traceability: If an auditor questions a data value in the new system, Graphixa can trace it back through the Semantic Lineage to the raw network packet that left the original Oracle database.

5. Deployment on IBM Power10/11 - Equitus.ai KGNN runs natively on Power10/11 

For organizations using IBM RISE or seeking Sovereign AI capabilities:

• Native Optimization: Graphixa and Equitus are optimized for IBM Power10 servers. They use the Matrix Math Accelerator (MMA) to process these complex triple stores and graph neural networks without needing expensive, high-heat GPUs.

• Air-Gapped Security: This allows the migration governance to run entirely on-premise or in a "disconnected" cloud enclave, ensuring sensitive Oracle data never leaves the organization's control during the transition.

Summary of Value

Migration Phase	Traditional Method	Graphixa.ai Method
Discovery	Manual spreadsheets & API checks	Automated Triple Store Mapping
Mapping	Heuristic (Guessing)	Semantic (Deterministic Logic)
Validation	Sample-based testing	100% Packet-to-Record Audit
Governance	Disconnected logs	Unified Semantic Lineage