The system still runs the business, but it is slow to change, expensive to maintain, and nobody wants to touch it. We modernize business-critical software incrementally: a stable interface in front, functionality replaced one slice at a time, old and new running in parallel until you trust the switch. Cloud migration, re-platforming, refactoring, or a phased rebuild, whichever the assessment says is right.
Every modernized system we build is AI-ready by design. We fix the data model and APIs on the way through, so LLM features, retrieval, and workflow automation drop in later as a feature ticket, not another modernization project.
Priced in two stages: a fixed-price assessment, then phase by phase. Get your number →
If two or three of these are true, modernization is worth an assessment. Here is what we do about each.
A small change takes weeks, and every release risks breaking something unrelated.
We refactor the parts that fight change. The assessment names the real bottleneck, then we re-platform or restructure it so the next change is a normal ticket, not a project.
The system runs on a server under someone's desk, or a framework that is out of support.
We move it to the cloud, cleanly. Containerised, on AWS or Azure, with CI/CD and monitoring. Re-host first if the code is sound, re-platform where it is not.
The people who built it have left, and the logic lives in their heads.
We reverse-engineer the behaviour first. We read the code, map the data model, and document the load-bearing logic before we touch anything. We do not need the original team.
You are quoted a two-year rebuild with a big-bang cutover at the end.
We deliver in reversible phases. A stable interface in front, one module replaced at a time, old and new in parallel. Users keep working the entire time and you can pause between phases.
The assessment tells us which of these your system needs. Most projects use two or three.
Move a system off aging on-premise hardware to AWS or Azure with minimal code change: containerise it, add CI/CD, monitoring, and backups. The fastest way to cut hosting risk and maintenance cost when the application itself is still fit for purpose.
Lift the application onto a supported framework and runtime without changing what it does for users. An out-of-support .NET, PHP, or JavaScript stack becomes a current one, so security patches, hiring, and future work stop being a problem.
Restructure the specific parts of the codebase that block change: a tangled data-access layer, a god class, a missing service boundary. We do not rewrite what works. We fix what stops you shipping.
Put a stable interface in front of the old system, then replace it one module at a time behind that interface. Each slice is a small release, old and new run in parallel, and the risky all-at-once cutover never happens.
Years of customers, jobs, invoices, and history moved without losing a record. We profile the source, write repeatable scripts, run dry-runs against production copies, and reconcile counts and financial totals before any cutover.
A clean API in front of the modernized system so other software can talk to it without reaching into the database. This is also what makes the system AI-ready: structured access that an LLM feature or agent can use later.
They fail when nobody understood the old system before replacing it, when data migration was an afterthought, and when the plan required everything to change at once. We fix these deliberately.
We audit the codebase and infrastructure, map the data model, identify the load-bearing logic, and interview the people who use it. The output is a documented recommendation: what to re-host, what to re-platform, what to refactor, what to rebuild, and in what order. You own this document.
We break the work into phases small enough to deliver and reverse, ordered so the highest-value or highest-risk piece comes first. Each phase is scoped and fixed-priced on its own, so you commit incrementally and can stop between phases.
Before replacing anything, we put an API facade in front of the old system. From then on, new components talk to the facade, not the legacy internals, so we can swap what is behind it without the rest of the system noticing.
We rebuild one module on the new stack, run it alongside the old one, and compare outputs and data until they match. Only then does traffic move over. If anything is wrong, we switch back. Repeat per module.
Each phase that moves data gets full dry-runs against production copies, reconciliation of counts and totals, and a reversible cutover window. We do not migrate live data we have not rehearsed.
Once every slice is replaced, the old system is decommissioned. You get architecture and deployment documentation written to a standard your team can maintain, plus a 30-day support window and optional retainer.
You are never asked to sign off a full modernization budget before anyone has read the code.
Estimate your project cost →Custom vs off-the-shelf software
Fixed-price · 2 to 4 weeks
A senior engineer reads your system and produces a plan. You own the output whether or not you build with us.
Fixed-price per phase · 8 to 16 weeks each
We deliver the roadmap one phase at a time. Each is scoped, priced, and approved on its own before it starts.
If the system is not just old but stalled, over budget, or abandoned by its last team, that is a different starting point. See Software Project Rescue.
That is exactly what the assessment answers. 30 minutes to scope it, then a straight recommendation.
We have replaced heavily-modified off-the-shelf software and dated custom applications since 2017, across logistics, healthcare research, property, and professional services. i-mve replaced the tools 510 UK removals firms were running on, migrating 314,500+ jobs of history without a lost record. COMPASS replaced paper-based clinical data collection at Ball State University. The Employment Law Alliance platform was re-architected for scale the old information architecture could not support. The same engineers who did that work run your assessment and deliver your phases.
Straight answers on approach, risk, data, timelines, cost, and ownership.
Legacy software modernization is the process of updating an old but business-critical system so it can keep evolving, without stopping the business that runs on it. It covers a spectrum: re-hosting a system to the cloud, re-platforming onto a supported framework, refactoring the parts that block change, replacing a module at a time behind a stable interface, or a full rebuild where the old system is beyond economic repair. The right option depends on how bad the code is, how much institutional knowledge is trapped in it, and what the business needs it to do next. We assess that first and give you a straight recommendation.
We do it incrementally. Rather than a big-bang cutover, we put a stable interface in front of the old system, then replace functionality behind it one slice at a time, running old and new in parallel and reconciling data at each step. This is often called the strangler pattern. Users keep working throughout, each release is small enough to reverse, and the risky all-at-once switch never happens. It is how we moved UK removals firms onto i-mve and how COMPASS replaced paper-based clinical data collection at Ball State University.
It depends on three things: how much of the current code is salvageable, how much business logic is understood versus trapped in undocumented behaviour, and how different the future requirements are from what exists. If the architecture is sound and the problem is age and tech debt, targeted refactoring and re-platforming is cheaper and lower risk. If the system fights every change, the original team is gone, and the business has outgrown its shape, a phased rebuild behind a stable interface is usually the honest answer. We give you the assessment before you commit budget to either direction.
It is phased, so there is no single number. A modernization assessment producing a documented recommendation and roadmap is typically 2 to 4 weeks. The first delivery phase, usually re-platforming or replacing the highest-value module, runs 8 to 16 weeks. From there each phase is scoped and priced on its own, and you can pause between phases. Most full modernizations run 6 to 18 months of active development with the business fully operational the entire time.
Yes. We have taken over heavily-modified off-the-shelf systems and dated custom applications across .NET, PHP, and older JavaScript stacks. The first step is always an audit: we read the codebase, map the data model, identify the load-bearing logic, and document what is safe to change. We do not need the original developers, though we will interview them if they are available. What matters is understanding the behaviour the business relies on before we touch it.
It is treated as the highest-risk part of the project, because it is. We profile the source data early, write repeatable migration scripts, run full dry-runs against production copies, and reconcile record counts and financial totals before any cutover. Where it helps, we run the old and new systems in parallel so the switch is reversible and the team can trust the numbers before they rely on them.
You do, completely. Source code, architecture documentation, deployment configuration, and all associated IP transfer to you as part of every engagement. We document the new system to a standard your own team can maintain against, including the decisions and tradeoffs made during modernization, so you are never dependent on us to keep it running.
Modernization is often the moment to fix security and compliance gaps that accumulated in the old system. We follow OWASP Top 10 practices as a baseline: parameterised queries, encoded output, encryption in transit and at rest, role-based access control, and audit logging. During the assessment we map your specific obligations, such as GDPR, HIPAA-aligned handling, or the Australian Privacy Act, and design data residency, access control, and retention into the new architecture rather than retrofitting them after an audit. Rezi24, a German healthcare SaaS we built, runs GDPR-compliant on German data centres.
Yes. Most of our clients are in the United States, United Kingdom, and Australia. We are an offshore team based in Pakistan with agreed real-time overlap hours for each region, communicating over video call and Slack. We have modernized and replaced systems for clients in logistics, healthcare research, property, and professional services across all three regions.
It is priced in two stages. First, a fixed-price modernization assessment that produces a documented recommendation, architecture direction, and phased roadmap: this is a real deliverable you own whether you continue with us or not. Then each delivery phase is scoped and fixed-priced on its own, so you are never committing the full budget up front. You approve each phase before it starts.
Platform-level reviews of the agency — not cherry-picked project comments.
What I love about Team7 is that they always say: No worries, we can find a solution. This is the mindset of builders, creators, people who do not have fear — the partner you need if you want to excel.
Working with Mo and his team over the past year has been nothing short of exceptional. I was admittedly sceptical about investing such a large amount — but results exceeded every expectation.
Team 7 is the best group of developers on Fiverr — and I promise it is not even close. The software they have developed has changed our company for the better.
30 minutes. No slides. We will look at the system and tell you honestly what it needs, and what each phase will cost.