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 cutover, so nothing is destroyed even 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, a phased roadmap and estimate ranges. It is a standalone deliverable, so it remains useful even if you engage another vendor for the build.

Often, but not always, and finding out is exactly what the assessment is for. Modernizing is usually cheaper when the core business logic is sound and the problems sit in the platform, interface or integrations. Rebuilding can cost less over the life of the system when the codebase is so degraded that every change costs more than it should, or when requirements have moved far beyond the original design. We compare both paths with estimate ranges 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.

Yes, and that constraint is normal for ERP work. 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. Cutovers are scheduled for low-activity windows such as weekends or period ends, 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.