ArcXA SCP provides the structured semantic context (the "map and rules"), while Granite 4.2 acts as the agentic reasoning engine (the "execution brain").
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Architectural Integration
The Grounding Graph (SPO Triples): ArcXA SCP parses raw enterprise schemas, pipeline logs, and compliance policies (from tools like Collibra or Snowflake) into an RDF Knowledge Graph built on SPO triples (e.g.,
[Customer Data] ---> [hasPrivacyClassification] ---> [HIPAA Restricted]).The Agentic Reasoning Engine (Granite 4.2): Granite 4.2 queries the ArcXA RDF graph using SPARQL tool calls.
It utilizes its native reasoning mode to analyze context, predict mapping failures, or plan multi-step migration tasks before touching production data. The Governance Loop: Before executing any data transformation, Granite 4.2 evaluates its actions against active logical constraints stored in ArcXA’s SPO graph.
Step-by-Step Workflow
Ingest & Graphify: ArcXA registers source/target systems and maps metadata into atomic SPO triples.
Context Retrieval: Granite 4.2 receives a natural language task (e.g., "Map legacy DB2 columns to target Snowflake schema and mask PII") and queries ArcXA’s Knowledge Graph for business rules and lineage dependencies.
Pre-Execution Reasoning: Granite 4.2 leverages its reasoning budget to trace the SPO graph (
Table_A$\$xrightarrow{\text{contains}} SSN$\$xrightarrow{\text{governedBy}} Policy_102).It verifies that its proposed code or SQL transformations won't break upstream dependencies or violate policies. Execution & Audit Trail: Granite 4.2 executes the transformation.
ArcXA commits the outcome as a new, immutable SPO triple (e.g., [Transformation_99] ---> [validatedBy] ---> [Granite_Agent_4.2]) for instant compliance auditability.
Key Enterprise Benefits
Zero-Hallucination Schema Mapping: Instead of guessing SQL transformations, Granite 4.2 is bound by the deterministic rules of ArcXA’s SPO graph.
Pre-Execution Validation: Catch semantic errors (like unit mismatches or unmasked PII) before pipelines run, preventing costly post-load reconciliations.
30-Second Audits: Compliance teams can trace every AI decision back through explicit SPO lineage nodes to explain why a transformation occurred.
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