AIMLUX.ai Proposes: Consulting Solutions -
Introducing ArcXA (XA) Middle Layer (Migration, Integration, Development) --- Bring Legacy systems into IBM Agentic Architecture with ArcXA
Specialized Migration ETL Assist available Natively on IBM Power 10/11
Utilizing per core pricing and automation engineer: Equitus.ai ArcXA and AIMLUX.ai consulting solutions deployment process significantly shortens time, cost and risks of migration,
ArcXA takes you from the initial assessment through to full operational capability in 21 days.
Phase 1 – Modernization Workshop & MRA: 21 Day Migration
Initial Consultation, Statement of Problem, Scope of Work, Migration Readiness Assessment (MaaP), Institution Sizing Tool (Core Pricing), Proof of Concept (POC).
The Foundation of the Journey
Migration Readiness Assessment (MRA): A deep dive into current legacy systems (e.g., Oracle, x86 stacks) to identify data silos and technical debt.
Institutional Sizing Tool: Calculating specific resource needs for IBM Power10/11.
Calculation: Applying a 3:1 core consolidation ratio to estimate the reduced footprint.
Gap Analysis: Identifying proprietary code or non-standard schemas that require automated transformation.
Phase 2 – Environment Provisioning
Building the High-Performance Infrastructure
Hardware Setup: Deploying IBM Power10 servers (such as the S1012 for edge or E1080 for enterprise).
OS & Containerization: Installing Red Hat OpenShift to provide a cloud-native environment for Equitus microservices.
Storage Configuration: Setting up IBM FlashSystem with high-speed OMI (Open Memory Interface) for rapid data throughput.
Phase 3 – Data Migration & Transformation
Moving from Legacy to DB2 Transitioning from Costly Oracle services to IBM Agentic Architecture
Automated Schema Conversion: Using ArcXA’s intelligence to migrate Oracle DDL to IBM DB2 Warehouse.
Data Movement: Utilizing IBM Db2 Bridge or CDC (Change Data Capture) for zero-downtime data transfer.
Semantic Mapping: Equitus.ai begins mapping disparate data sources into a unified Knowledge Graph Neural Network (KGNN).
Phase 4 – AI Configuration & KGNN Activation
Turning Raw Data into Intelligence
In-Core AI Setup: Activating the Matrix Math Accelerators (MMA) on the Power10 chips to handle AI inferencing without external GPUs.
Knowledge Graph Generation: Automated ingestion and unification of structured/unstructured data.
Security Layer: Implementing Transparent Memory Encryption and quantum-safe cryptography to protect the banking data-in-use.
Phase 5 – IOC (Initial Operational Capability)
Day 1 – 30: Launching the MVP
Validation: Bit-for-bit and semantic validation to ensure the new DB2 environment matches the legacy financial records.
Training: Onboarding institutional users (e.g., Green Dot Bank analysts) on the ArcXA dashboard.
Pilot Launch: Running real-time queries and fraud-detection patterns on live data streams.
Phase 6 – FOC (Full Operational Capability)
Day 60+: Optimization and Scale
Performance Tuning: Optimizing query rates (targeting 4x+ improvement over previous systems).
ROI Realization: Monitoring the reduction in licensing costs and energy footprints.
Continuous Monitoring: Activating MLOps for post-deployment model accuracy and automated patching.
Financial Summary ("How ArcXA reduces cost")
By using this methodology, AIMLUX.ai delivers a 3-year TCO reduction of ~45%.
IRR: High, because the initial "Core Consolidation" (reducing server count) frees up cash flow almost immediately.
ROI: Derived from the elimination of Oracle licensing premiums and the removal of dedicated GPU hardware maintenance.
This video provides an expert-level demonstration of how the Equitus AI and IBM Power partnership delivers real-time analytics and dramatic performance improvements during the deployment phase.
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