Legacy-to-Modern Assessment
Map your existing data landscape — mainframe systems, data warehouses, and siloed sources — and identify what must change for AI readiness.
Service
Data Preparation for AI
The foundation most companies skip — structured, governed data that makes AI implementation possible.
The Challenge
AI Adoption Without Data Readiness
Every company is being pushed into the AI world — but most do not have a data structure ready for it. Models fail without clean, governed, connected data. Teams deploy tools on top of fragmented warehouses, legacy mainframes, and siloed databases, then wonder why intelligence never materializes.
Deliverables
What You Get
Data foundations engineered for AI — not spreadsheets and slide decks.
Database & Warehouse Structuring
Design schemas, pipelines, and storage patterns optimized for AI workloads — performance, scale, and governance built in from the start.
Integrity, Lineage & Insights
Ensure data integrity and traceability so executives trust the outputs — and AI models operate on verified, executive-ready information.
Methodology
Discover, Model, Structure, Validate
A systematic path from fragmented corporate data to an AI-ready foundation.
Discover
Data Landscape Audit
Inventory sources, systems, and quality gaps across legacy and modern platforms.
Model
Target Data Architecture
Define the schemas, relationships, and governance model AI workloads require.
Structure
Build the Foundation
Implement warehouse design, database structuring, and integration patterns for scale.
Validate
Prove AI Readiness
Test data quality, lineage, and performance against real AI use cases before full deployment.
Experience
From Mainframe to AI-Ready
Twelve years in mainframe environments, primarily data warehouse systems — building the backbone infrastructure that large corporations depend on. That foundation matters: modern AI still runs on data that often originates in legacy systems.
Today, I structure data and databases so organizations have the foundation required for AI implementation — bridging decades of corporate data infrastructure with the demands of intelligent automation. Not theory. Production-grade architecture.
Contact
Assess Your Data Readiness
Before you invest in AI tools, let's evaluate whether your data structure can support them.
Or reach us directly: rich@greg-tech-advisory.com · (202) 800-3886