Legacy Modernization & AI Readiness Services
Introduction
We offer a focused set of architectural engagements designed to de-risk your move to the AI cloud.
Modernisation is no longer just about changing databases; it is about preparing your organisation for Snowflake Cortex and Generative AI. Each engagement below is designed to fix the underlying data foundations, Governance, Lineage, and Unstructured Data, so you can deploy AI models without risk.
1. AI Readiness Assessment & Legacy Audit (Fixed Fee | 3-4 Weeks)
The Problem: You want to adopt AI, but your core data is trapped in legacy schemas (Oracle/SQL Server) or unstructured silos (PDFs/Notes).
The Outcome: A “Red/Amber/Green” architectural scorecard and a prioritised roadmap to move your data to Snowflake. We analyse your Data Gravity, PII risks, and Schema compatibility to give you a definitive path to Cortex readiness.
Deliverables:
Legacy Schema Analysis (Complexity & Dependency Map).
Unstructured Data Risk Report (PII/Sensitivity check).
The “Legacy to Cortex” Migration Roadmap.
2. Fractional Data & AI Architect Retainer (Monthly Retainer)
The Role: You have an engineering team, but you lack the strategic experience to architect a secure AI Data Foundation.
The Outcome: I embed with your team to oversee the critical transition from “Legacy On-Prem” to “Modern Snowflake.” I ensure your new architecture isn’t just a copy of the old one, but is optimised for Hybrid Tables, Governance, and Cortex AI functions from Day 1.
Focus Areas:
Designing the Bronze/Silver/Gold ingestion layers.
Implementing “Secure by Design” Role-Based Access Control (RBAC).
Architecting pipelines for unstructured text processing (Cortex).
3. Strategy & Architecture Review (Pre-paid Advisory Block)
The Need: You need a second opinion on a vendor proposal, a Snowflake cost review, or a GenAI security strategy.
The Outcome: On-demand access to a Certified Snowflake Architect. Use these hours to validate your Cortex Use Cases, review your security posture, or troubleshoot complex performance bottlenecks before they become expensive problems.
Stop Guessing About Your AI Readiness.
Don’t start a migration expecting it to meet modern needs.
Get the Architect’s view first