The technology and data architecture beneath the operating model: platform strategy, the build-buy-rent decision, core modernisation, and a delivery approach that avoids the big-bang. From enterprise architecture and a single data source of truth to a greenfield or multi-vendor build, governed so it stays coherent and free of lock-in.
Technology, data & platform architecture
WORK STAGES
Read the estate and the goal. Map the current architecture, the technical debt, and the run-versus-change split, and pin down what the business actually needs the technology to do.
Set the target architecture. A composable, decoupled design with clear domain boundaries, an open API gateway, and a data architecture built for a single source of truth, with the principles that keep it coherent.
Decide build, buy, or rent. Run every function against a hybrid procurement model, and a structured vendor evaluation to a verified shortlist, on jurisdiction, functional fit, cloud-native architecture, and predictable licensing.
Prove it with a steel thread. Build a thin, front-to-back slice through one product or segment, stage-gated, so the executive can judge real progress before committing to full migration.
Scale without a big-bang. Move in domain-driven waves, hollow the legacy core with a strangler approach, and govern a multi-vendor build through a single design authority that holds the blueprint.
Assure it, in or out of the room. An independent read of a programme, inherited or in-flight, against schedule, budget, architecture, and the gaps carried in from due diligence.
KEY AREAS OF ASSISTANCE
Most of the technology run cost goes to keeping legacy alive, leaving little for change.
A core platform is holding the business back: releases take months, data is locked in proprietary formats, and personalisation or open integration is out of reach.
A major build or replacement is being planned, and the choice between building, buying, and renting is not clear.
A multi-vendor or greenfield build is stacking up integration risk and the threat of lock-in.
A programme is heading for a big-bang go-live, or has already stalled and overrun.
Data is fragmented across silos, blocking a single view of customer, cost, or risk.
An acquisition or carve-out needs its technology separated or integrated, with an independent assurance read.