Modernization
Most systems that need modernizing are not broken—they are load-bearing. They run the plants, close the books, and hold fifteen years of institutional decisions that nobody wrote down. That is exactly why replacing them is hard, and why a rewrite from scratch so often ends up costing more than the system it was meant to retire. We treat modernization as a sequencing problem rather than a technology catalogue: understand what the system actually does, decide honestly what to keep, retire and defer, and move in reversible steps that leave the business running the entire time.
For platform-specific capabilities—SAP, Oracle, Dynamics 365, cloud, and custom rebuilds—see Explore what's possible. This page is about how we run the programme so those platforms land safely.
- Legacy application modernization
- We decompose monoliths incrementally using the strangler-fig pattern—routing traffic function by function—so value ships continuously instead of arriving in one high-risk release.
- Programme sequencing & risk control
- Modernization is a sequencing problem: keep, retire, replace, and defer—with reversible steps, rehearsed cutovers, and evidence about what the estate actually uses.
- Cloud & platform transitions
- Workload-by-workload disposition—rehost, replatform, refactor, repurchase, retire, or retain—chosen based on measured evidence rather than a blanket mandate. Platform specifics live in Possibilities.
- Data & custom-code rationalization
- Runtime telemetry decides what is still load-bearing. Unused custom code gets retired before expensive remediation; data quality is treated as a prerequisite, not a downstream task.
- Integration cutovers without silent breaks
- Replace brittle interfaces with governed APIs and events as part of the migration path—so the new platform is not stranded behind overnight file drops.
Modernization Without the Big Bang
The riskiest modernization plan is the one with a single date on it. When everything changes at once—platform, data model, processes and user interface—there is no way to isolate a failure and no way back. We sequence the work so that each step is small enough to verify, reversible enough to undo, and valuable enough to be worth shipping on its own. The result is a programme that gets less risky as it progresses rather than more.
The principles we hold to on every modernization programme:
- Strangler Fig, Not a Rewrite: New capability is built alongside the old system and traffic is routed across incrementally, so the legacy system shrinks rather than being switched off in one night.
- Reversible Steps: Every migration step has a tested rollback. If a step cannot be undone, it gets broken down further until it can.
- One Variable at a Time: Process redesign does not ride along with a platform change. Improvements are sequenced as a deliberate second wave.
- Evidence Over Opinion: Runtime telemetry decides what is still used. Nobody's memory of which reports matter is as reliable as six months of call data.
- Rehearse the Cutover: Full dress rehearsals on production-sized copies, repeated until the runbook is boring. The rehearsal that fails is the one that makes go-live work.
The failure patterns we are usually called in to correct:
None of these are technology problems. They are decisions made early, under optimism, that compound quietly until the go-live date moves for the third time.
- The Ground-Up Rewrite: Rebuilding from scratch discards undocumented behaviour that the business quietly depends on, and reintroduces years of edge cases one production incident at a time.
- Carrying Everything Forward: Migrating the full custom estate because nobody has evidence about what is unused, multiplying remediation cost and permanent maintenance burden.
- Deferring Data Quality: Master data cleanup treated as a downstream task rather than a prerequisite, then discovered during cutover when there is no time left.
- Testing at the End: QA scheduled as a phase instead of embedded throughout, so defects surface when the remaining schedule is shortest and the cost of change is highest.
- Scope That Never Closes: Good ideas absorbed continuously instead of logged for a later wave, until the critical path is unrecognisable.
ECC to S/4HANA Across Nine Plants
A multinational manufacturer ran nine plants in four countries on a fifteen-year-old SAP ECC system that nobody wanted to touch. We led the twelve-month conversion to S/4HANA—and the first decision was the one that mattered most.
How the route got chosen:
- Greenfield: Cleanest target, but a parallel design phase and retraining across four countries put it at 24 to 30 months—with the plants absorbing process change and platform change simultaneously.
- Selective Data Transition: Attractive on paper, but the tooling cost and reconciliation burden were hard to justify once we found the client's process design was fundamentally sound.
- Brownfield Conversion: Keep the configuration, the history and the document numbers the auditors know; change the platform. Process improvement sequenced deliberately afterwards.
- What that bought: Six months of usage telemetry retired 2,600 of 4,380 custom objects before remediation began. Four dress rehearsals took technical runtime from 96 hours to 27.
- The outcome: 58 hours of business downtime against a 72-hour plan, MRP runtime reduced from 11 hours to 35 minutes, and not one missed customer shipment.
Explore related platforms & technologies
When modernization needs a specific platform destination, start here—then come back to the sequencing practice on this page.