AI-assisted code assessment
AI tooling scans the legacy codebase for structure, dependencies and dead paths, giving engineers a map before they touch anything.
Powered by Misi-ZiibiModernise without losing what the enterprise depends on.
Legacy systems rarely fail loudly, they fail slowly, in the assumptions buried in code nobody wants to touch. This is Misi-Ziibi's own engagement, using AI-assisted assessment and migration to untangle legacy systems while preserving the business logic the enterprise depends on.
AI-assisted code analysis, reviewed by senior engineers before a single line is migrated.
Three disciplines, applied together, so modernisation does not become a rewrite of business logic nobody signed off on.
AI tooling scans the legacy codebase for structure, dependencies and dead paths, giving engineers a map before they touch anything.
The rules the enterprise actually depends on are identified and preserved, not silently rewritten as a side effect of migration.
A predictable path off platforms that no longer serve the business, executed with the same delivery accountability as any other engagement.
Four stages, each with a decision point, so modernisation stays a managed programme rather than an open-ended rewrite.
AI-assisted scan of the codebase: structure, dependencies, dead paths and risk.
Business logic extracted and documented before any migration decision is made.
Re-platform in controlled stages, with the mapped logic as the acceptance criteria.
Confirm the new system behaves exactly as the old one did, where that behaviour mattered.
Tell us which system is holding you back. We will scope the assessment before anything is migrated.