Legacy Software Modernization Services

Yes, and in most cases you should. Incremental, strangler-style migration builds the new system around the old one while it keeps running. Users move over one module or department at a time, and each step has a rollback plan. For critical functions we run old and new in parallel until their outputs reconcile. The old system is only retired once the business has proven it no longer depends on it.

Data preservation starts before any code is written. We audit what data exists, where it lives and what condition it is in, then map every field to its destination in the new system. Migration is rehearsed with repeated dry runs on copies of production data, and reconciliation reports compare record counts and financial totals after each run. The legacy database is kept as a read-only archive after cut-over, for as long as your retention policy requires, so original records stay available after the new system takes over.

The assessment covers four areas: a technical review of the code, architecture and infrastructure; a data audit covering quality, volume and structure; an integration map of everything that connects to the system; and interviews with the people who use it daily. The output is a written report with a risk register, a recommended approach with reasoning, and a phased roadmap. It is a standalone deliverable, so it remains useful even if you engage another vendor for the build.

It depends, and finding out is exactly what the assessment is for. Modernizing usually makes sense when the core business logic is sound and the problems sit in the platform, interface or integrations. Rebuilding is the better path when the codebase is so degraded that every change is slow and risky, or when requirements have moved far beyond the original design. We compare both paths in the assessment before recommending either.

Yes. This is one of the most common situations we see. We recover the specification from the system itself: reading the code and database schema, observing how staff actually use it, capturing inputs and outputs, and treating the running system as the source of truth. Undocumented behavior is written down before it is changed, and ambiguous rules are confirmed with your team rather than guessed. It takes longer than working from good documentation, but it is a solved problem, not a blocker.

It depends on the size of the system, the number of integrations, data quality and how much of the migration can run alongside daily operations. As honest orientation, a contained re-platforming effort is typically measured in months, while the phased replacement of a large ERP is measured in stages that can span a year or more. The assessment produces a timeline for your specific system, broken into phases so value arrives well before the whole program finishes.

In most cases, yes, with planned cut-overs that keep disruption to a minimum rather than none at all. The replacement proceeds module by module, for example inventory first, then procurement, then finance, with temporary bridges keeping old and new modules synchronized during the transition. Cut-overs are scheduled for low-activity windows such as weekends or period ends, usually with a short, agreed freeze on changes in the old system, and each one has a tested rollback plan. Master data and open transactions are migrated and reconciled per module, so daily operations continue on whichever side currently owns each process.