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Web Lifter assesses workflows, technical debt, data, integrations, ownership and commercial priorities to determine what should be retained, repaired, integrated, replaced or rebuilt.
You know something has to change. What you can't yet see is whether to repair, replace, wrap or retire. Open any symptom for the diagnosis underneath it.
Left unresolved, the cost of change only rises: the talent pool for the old stack shrinks, workarounds harden into process, and the eventual migration grows bigger, riskier and less optional every year.
The fear of a failed migration is rational, and so is the fear of an overbuilt replacement. The riskiest response to a legacy system is the confident one: committing to a full rebuild before the current state is genuinely understood. We treat modernisation as a portfolio of decisions (retain, stabilise, replatform, wrap, integrate, rebuild or retire) made system by system, on evidence about workflows, data, dependencies, cost and risk. The result is a staged roadmap that keeps operations running while the highest-value moves land first, and that treats keeping a system as a legitimate answer where it still earns its place.
How work actually moves through the business (workarounds included) versus how the system assumes it does.
The current-state architecture, where debt concentrates, and what is genuinely safe to touch.
Data quality, structure and ownership, and what a migration would honestly take.
The joins between systems, their failure modes, and everything that silently depends on the system in question.
Vendor contracts, renewal exposure, the support model, and the key-person dependencies behind each system.
How access, data handling and change control work today, and what a migration must preserve or fix, coordinated with your security stakeholders.
Where staff and customers work around the software rather than with it, because an unused system fails no matter how well it was built.
Total cost of ownership, disruption cost, migration risk and the option value of deferral, so every recommendation is a commercial case.
Seven responses, each right under specific conditions and each with a trade-off. This is how the assessment frames every system in scope. Most roadmaps combine several.
Keep the system as-is when it does its job, the risks are acceptable and the pain is genuinely elsewhere. Trade-off: if the diagnosis is wrong, the constraint stays.
Fix reliability, documentation, support and backups before making any bigger call. Trade-off: buys time and safety, but doesn't remove the ceiling.
Move the same capability onto supported, maintainable infrastructure. Trade-off: real migration effort without new capability on day one.
Put a modern interface, portal or API layer over a system too risky or costly to replace now. Trade-off: the legacy core remains, and complexity moves to the seams.
Connect the systems you keep so people stop being the integration layer. Trade-off: only as good as the data quality and ownership underneath it.
Replace the system when it blocks the operating model and nothing cheaper resolves it. Trade-off: the highest cost and migration risk. Rebuild earns its place last, not first.
Decommission what the business has outgrown. Trade-off: needs a deliberate plan for the data, the edge cases and the people who still quietly depend on it.
Strategy first, then staged delivery. Each stage closes with a decision gate, so investment follows evidence rather than momentum, and operations keep running throughout.
The modernisation roadmap: every system weighed against the seven decisions and sequenced by value, dependency and risk (the Technology Strategy & Roadmapping engagement).
GateRoadmap agreed before any build is scoped.
Target architecture, requirements and success criteria for the moves the roadmap approves, designed from what the assessment found, not a blank slate.
GateTarget state and migration sequence approved.
Clean, map and stage the data before anything moves. Most migration failures are data failures discovered too late. This stage exists to find them early.
Build the approved components (portals, integrations, workflow platforms, reporting layers) in the order the sequence sets.
Staged cutover with parallel running and validation, planned around your operating calendar so the business keeps trading while systems change underneath it.
GateEach stage validated before the next begins.
Documentation, a support model and an improvement backlog after go-live, so the new system doesn't quietly become the next legacy system.
Most roadmaps land on one of a handful of proven shapes (or a combination) rather than a single big-bang rebuild.
Replace the aged customer- or staff-facing layer first, while the core system keeps running behind it.
Move the processes carried by spreadsheets and email onto a governed workflow system, one process at a time.
Put trustworthy reporting over the systems you keep, ending the export-and-merge routine without migrating everything.
Stabilise the joins between systems so changes stop breaking them, and so future replacements plug in cleanly.
Unlock the data trapped in an old system for reporting and new tools, without a full migration up front.
Retire the legacy system module by module, with a working system at every stage and a rollback path at every gate.
The engagement that produces the modernisation roadmap, the decision layer this page describes.
When the roadmap approves a portal, platform, integration or workflow build.
When trapped or fragmented data is the constraint: migration preparation and reporting-ready foundations.
Ownership after cutover: support, maintenance and the improvement backlog that prevents the next legacy problem.
No, and the assessment often recommends against it. Rebuild is one of seven decisions alongside retain, stabilise, replatform, wrap, integrate and retire, and it earns its place only when nothing cheaper resolves the constraint. Keeping a system that still does its job is a legitimate roadmap outcome.
The pathway is designed so they aren't. Data is prepared before anything moves, cutover is staged with parallel running and validation, and the sequence is planned around your operating calendar. Each stage closes with a gate, so a problem stops one stage, not the business.
Not necessarily. The assessment weighs what still earns its keep. Wrapping and integrating are specifically ways to reuse what works. Sunk cost alone shouldn't keep a system alive, but it shouldn't force a rebuild either. The commercial analysis treats both as decisions about the future, not the past.
Four things: the type of system involved, the business process it carries, how urgent the situation is, and who currently owns it. No credentials and no confidential files. Scoping works from context, not access. If you'd rather test readiness yourselves first, the Software Project Readiness Checklist covers the same ground.
The roadmap hands implementation briefs to whoever delivers: Web Lifter's software, AI and data engineering services, your internal team, or your existing vendors. Keeping the strategy separate from the build keeps the roadmap honest about whether a build is needed at all.
A vendor is usually selling one of the seven answers. The assessment weighs all of them (including retaining what you have, or buying rather than building) with the conditions and trade-offs documented, so the decision holds up when it's questioned later.
It depends on the size of the system landscape, and is confirmed on a scoping call before anything begins. The roadmap work is fixed-scope, and delivery is then staged so each investment is approved on the evidence of the stage before it.