Legacy systems rebuilt so agents can use them.
Clean APIs, events and data models in place of brittle point-to-point links and green screens. Delivered in phases, without a big-bang cutover.
AI can't use what it can't reach.
Most AI initiatives run into the same wall: the systems that hold the data and execute the transactions were never designed to be called by anything new.
Batch files, undocumented integrations and screens that only a few people understand make every AI use case a custom integration project.
We modernise with a clear goal: give agents and applications clean, governed access to the core. Often that means wrapping before rewriting, and rewriting only what earns it.
What we build and run for you.
API and event layers
Governed APIs and event streams in front of legacy systems, so new consumers stop touching the old internals.
Incremental rewrite
Strangler-pattern replacement of the parts that limit you, one capability at a time.
Integration modernisation
webMethods, MuleSoft and ESB estates refactored, upgraded or migrated.
Data modernisation
Data models and pipelines rebuilt so the same data serves reporting and AI.
Applications people and agents work in together.
Designed around the real workflow, engineered for the systems it has to reach, and supported by the team that built it.
Wrap, replace, retire.
Assess
estateMap systems, integrations and dependencies, and rank what blocks progress most.
Wrap
APIsPut governed APIs and events in front of the core so new work can start.
Replace
phasesRebuild the highest-value capabilities behind those interfaces.
Retire
cutoverSwitch traffic over and decommission old components safely.
- No big-bang cutover
- Parallel running where risk demands it
- Contract tests on every new interface
- Rollback plan for every phase
- Knowledge transfer to your team
Where it earns its keep.
Illustrative patterns from the sectors we work in. Client details stay anonymised.
Ministry integration backbone
Manual data exchange replaced with monitored, automated flows across core systems.
Trading network modernisation
Legacy B2B estates moved to API-led patterns without breaking partner connections.
Core system API layer
Governed APIs in front of core banking, so new channels and agents don't touch the core directly.
Integration consolidation
Scattered middleware consolidated onto one backbone with a centre of excellence.
Chosen for the job, not the vendor.
Work this builds on.
Manual data exchange replaced with monitored, automated flows across a federal ministry
A single integration backbone and Centre of Excellence for a global healthcare group
Client details anonymised per delivery agreements.
Questions we get asked.
When does rewriting beat refactoring?
When the existing architecture cannot absorb the next requirement, when the runtime is unsupported, or when the engineering team can no longer maintain the codebase. Otherwise: refactor. Most rewrites that get proposed should have been strangler-fig migrations — we keep the original system running, route new functionality through a new architecture, and migrate bounded contexts one at a time. The pattern of "full rewrite that quietly turns into a programme failure" is well-attested across the industry; we have rescued enough of them to be cautious.
What does a typical legacy modernisation timeline look like?
A focused application replacement is six to twelve months. A modernisation programme that touches multiple systems usually runs eighteen to thirty months in phases. The slow part is rarely engineering — it is data migration validation, user training, change management, and the parallel operation period. We design the timeline to make that visible up front rather than discovering it in month nine.
How long does a typical webMethods modernisation take?
Enough to fit the estate. A focused refactor of the top-tier integrations plus an API Gateway tier in front of legacy ESB is usually six to nine months for a mid-sized estate. A full strangler-fig migration off webMethods to a different platform is more often eighteen to thirty months. We will not give a deck-friendly number until we have walked the estate; the integrations that look simple are rarely the ones that cost time.
What would you hand to an agent first?
Bring one workflow. In 60 minutes an AI architect maps where an agent helps, what it needs to reach, and what a first working version would take.