PowerGraph Migration Middle Layer (MML), ArcXA and KGNN, IBM co-sell conversation, a federal CDAO/Tradewinds procurement, or a direct enterprise CIO pitch — and it maps directly to the ASC five-phase engagement structure you've already built.
Comprehensive breakdown of IBM Power11's user base and how KGNN + ArcXA can be positioned as the differentiated SQL migration and integration solution for each segment.
IBM Power11: Who Are the Users?
IBM Power runs the most mission-critical, data-intensive workloads across banking, healthcare, retail, and government — with thousands of government and corporate entities in financial services, telecommunications, and healthcare relying on IBM's hybrid cloud platform. IBM customers are predominantly shops that want to remain standardized on IBM platforms, with key trends including hybrid cloud acceleration, data sovereignty (especially in Europe and regulated DoD contexts), and AI acceleration at the edge.
The core Power11 enterprise segments break down into five buyer personas:
The Core SQL Migration Problem on Power / IBM i
The biggest hurdles in AS400/Power migrations are proprietary DB2 formats, EBCDIC encoding, code dependencies, and risk of downtime. AS400 data is often stored in DDS-defined files, logical files, and program-described data structures — and packed decimal (COMP-3) fields don't translate easily to modern databases without proper decoding.
DB2/400 databases often have flat-file structures requiring schema redesign for relational or cloud databases, and there is a critical shortage of AS400 developers as RPG and COBOL expertise declines with retiring staff.
This is precisely where KGNN + ArcXA create a differentiated, defensible wedge.
How KGNN + ArcXA Service These Enterprises
The Core Differentiator: Semantic Intelligence Before Migration
Where competitors (Informatica, Talend, AWS Glue) treat migration as a mechanical ETL problem, KGNN + ArcXA treat it as a knowledge problem — resolving what the data means before it moves.
Phase-by-Phase Engagement Model (ASC Five-Phase Applied to Power11)
Phase 1 — MRA / Schema Discovery
- ArcXA's native DB2 connector auto-discovers DDS-defined physical files, logical files, and cryptic field names (e.g.,
CSTAMT,INVDT,ORDREC) - KGNN performs multi-hop graph traversal to surface hidden relationships across RPG programs, stored procedures, and dependent jobs
- Output: an Institutional Memory Map — a semantic graph of what every field means, who owns it, and what depends on it
Phase 2 — SQL-to-SPO Mapping
- ArcXA converts legacy DB2 procedural SQL into Subject-Predicate-Object triples, establishing governed ontology for migration targets (PostgreSQL, Amazon Aurora, Azure SQL, Snowflake, ClickHouse)
- KGNN resolves ambiguous field lineage — e.g., when
ACCTBALin one table means something different thanACCTBALin a downstream reporting view
Phase 3 — Intelligent Context Layer
- ArcXA's Model Service provides governed MCP integration, exposing the semantic layer to AI agents, BI tools, and downstream applications without re-engineering the source system
- KGNN's graph-native reasoning enables runtime compliance checks (CMMC, FISMA, HIPAA, GDPR) to be embedded directly in the migration pipeline
Phase 4 — Governance Management
- Full audit trail from source DB2 field → transformation logic → target schema, traceable for regulatory review
- For Federal/DoD: CMMC and FISMA lineage proofs are machine-generated — no manual documentation required
- For Healthcare: PHI field tracking with consent lineage across T-MSIS and EHR data sets (FraudWorx alignment)
Phase 5 — Testing & Validation
- KGNN builds agentic eval sets by comparing semantic equivalence of source and target schemas — not just row counts
- ArcXA's SPO triple store validates that governance constraints survived migration intact
Segment-Specific Value Propositions
Banking / Financial Services Power11 banks running core banking on DB2 need every ledger field traceable for Basel III, SOX, and OCC compliance. ArcXA provides field-level lineage from AS400 origin through to cloud data warehouse — auditor-ready without human intervention.
Healthcare / Payers AS400-era claims systems carry PHI in packed decimal fields that generic ETL tools mishandle. ArcXA's semantic layer disambiguates field meaning and KGNN traces consent lineage, aligning directly with FraudWorx's T-MSIS Medicare/Medicaid pipeline.
Retail / Supply Chain JD Edwards and SAP users on IBM i need inventory and POS schemas mapped to modern ERP or cloud data platforms. Converting fixed-format RPG code to free-form RPG ILE and modernizing the DB2 database by replacing physical files with SQL tables can yield up to 8x faster queries — KGNN + ArcXA provide the semantic map that makes this safe to execute.
Federal / DoD DFAS, DLA, and CJADC2 workloads require IL4/IL5 data handling with CMMC lineage proof. ArcXA's Tradewinds "Awardable" status positions this as a sole-source-eligible offering. KGNN's multi-hop reasoning surfaces classification and data sensitivity attributes automatically, replacing manual data tagging.
Manufacturing / OT AS400-based MRP systems feeding OT/ICS environments need semantic bridging to modern SCADA and cloud analytics. ArcXA + KGNN (and RocketGraph's graph-native layer) provide the traceability layer that keeps OT data sovereign and governable as it moves to hybrid cloud.
