Qyrus Named a Leader in The Forrester WaveTM: Autonomous Testing Platforms, Q4 2025 – Read More

Jack Henry is moving Symitar off its proprietary database and onto a new SQL-based platform — and its own leadership has said the transition raises the cost of testing and maintenance. 

That means every credit union running Symitar is already inside a modernization event, whether or not it has plans to switch cores. Add to that a market where 73% of credit unions are planning core replacement by 2027, and an OCC examination framework — effective January 2026 — that now treats an active core transformation as an elevated operational risk event, and testing stops being a downstream QA task. It becomes the thing standing between a clean transition and a costly one. 

Most modernization programs don’t fail on the migration itself. They fail on what wasn’t validated along the way — 77% of organizations that started a mainframe modernization program failed to complete at least one, primarily due to inadequate planning. QyrusAI closes that gap with a unified approach that pairs discovery and rationalization with continuous testing across the full Jack Henry stack. 

 What’s inside the whitepaper 

  • Why the Jack Henry Platform transition changes the calculus for every Symitar institution, not just those planning a core switch 
  • The four recurring pressure points across the Symitar lifecycle — from conversion to daily maintenance to strategic planning 
  • Why 77% of mainframe modernization programs fail to complete at least one phase, and what the ones that succeed do differently 
  • A practical model for testing across the full Jack Henry stack — Quest, Episys, SymXchange, jXchange — as one connected journey, not five disconnected checks 
  • A phased, parallel-run-aligned approach to engaging modernization and testing together 

One Platform for Modernization and Testing, Together 

QyrusAI brings discovery, rationalization, and cross-stack testing into one continuous loop instead of treating them as disconnected phases. Instead of mapping dependencies in one tool, testing UI flows in another, and validating APIs in a third, QyrusAI correlates all of it — so teams know what’s safe to touch, and can prove nothing broke once they touch it.