Cases · Banking & FinTech · Embedded Engineering Teams

From legacy monolith to migration-ready - in about two hours

~2 hoursend-to-end analysis
7,000+ filesanalyzed
33 sectionsin the final report
19 migration specsproduced

Starting point

A Java monolith - thousands of files, multi-tenant architecture, 20+ locales, and mandatory audit columns woven through the data model - targeting a full rewrite to microservices on cloud infrastructure. Systems at this scale are exactly where manual architectural assessment becomes slow and expensive, and where the risk of missing something in the handoff to a migration team is highest. 

Context

Before any rewrite, a team needs to actually understand what it's rewriting: every dependency, every business rule buried in the code, every place documentation and reality have quietly diverged. Getting that picture by hand, on a codebase this size, typically takes weeks. 

Solution

The framework ingested the full codebase and ran a structured, multi-stage analysis - covering architecture, data flows, security, performance, compliance, and more - grounded entirely in the actual code rather than assumptions. The output: a navigable report with every finding traceable back to its source, plus concrete migration specifications ready to hand to a delivery team.

Outcome

Technical/organizational: 7,000+ files and 194 pages of documentation analyzed in roughly two hours, producing a 33-section report, 19 migration specifications, and 10 equivalence checks. 
Business: What usually takes weeks of manual assessment compresses into a single sprint - turning a full modernization budget proposal around fast enough to keep momentum instead of stalling on scoping. 

Embedded Engineering TeamsBanking & FinTech