Build · Legacy estate modernisation and cloud
Legacy technology should not dictate the pace of your business. Using AI-powered estate intelligence, we identify what to retain, retire, modernise or reinvent, prioritising investment around business value.
We transform incrementally, reducing cost and risk while creating the foundations for faster innovation and AI-native growth.
THE PROBLEM
Legacy is not a technology problem. It is a business problem that shows up in the tech. Without a clear connection between your technology estate and your business strategy, you risk spending millions replacing systems without changing what the business can achieve.
Manual infrastructure and fragile dependencies mean a small release needs a change board, a weekend and a rollback plan. Teams stop proposing changes because the cost of trying is too high.
Hardware refresh, contract renewal or a compliance deadline is forcing the question, and nobody wants to be the person who made the wrong choice.
When you move to the cloud, the bill goes up. Unused instances, duplicate tools, unmanaged licences, and nobody with the authority to switch things off.
The board wants AI-enabled services. The platform cannot host them safely, and the data cannot reach them quickly, reliably or securely enough.
THE PROCESS
Modernisation programmes run from three months to a year depending on the estate. The first step uses any discovery material where it exists, and runs Atlas where it does not.
Map
Atlas maps the estate and baselines applications, dependencies, security policies and resource usage. Compass connects that to cost and business criticality through a traceable audit, so the migration order is driven by risk and value rather than by which team shouts loudest. We also confirm which workloads qualify for hyperscaler funding.
You hold: A migration-ready map, a cost baseline and a funding position.
Design
A target architecture that gives you a clear path to retiring legacy incrementally, rather than replacing it in a big bang. Secure-by-design landing zones are specified for AWS, Azure or Google Cloud, with network segregation, identity and compliance controls built in.
You hold: A sequenced migration plan, a landing zone design and a modernisation roadmap.
Build
Infrastructure as code provisions everything through automated pipelines. Workloads move in sequenced waves using blue/green and canary releases, with legacy and modern services running side by side and automated data verification before any cutover. The business keeps trading throughout.
You hold: Workloads live in cloud with zero-downtime cutover, and legacy components decommissioned as each wave lands.
Run
FinOps governance, automated right-sizing and non-production shutdown are in place from day one, so the savings do not creep back. A Cloud Centre of Excellence is stood up with your people, and the platform is handed over as theirs, with the evidence to prove it.
You hold: Lower running costs, a governed platform your teams operate, and a foundation ready for AI services.
THE OUTCOME
By the end you have:
PARTNERS AND ECOSYSTEM
We hold the AWS Migration and Modernisation Competency, which unlocks AWS funding for eligible workloads, and we deliver on Azure and Google Cloud at the same depth — the StepChange, MONY Group and Takepayments programmes span all three.
As part of the Version 1 Group, an AWS Premier Tier Services Partner, large estates can draw on group-scale migration capacity through the same relationship. The platform we recommend is the one your workloads and your people are best suited to.
Migration and Modernisation Competency.
The competency is what unlocks migration acceleration funding for eligible workloads, so part of the programme can be paid for before your budget is touched.
Delivered at the same depth.
StepChange moved to AWS and Azure PaaS together. Running both at competency depth is what lets the recommendation follow the workload rather than the relationship.
Delivered at the same depth.
Takepayments replatformed to Google Cloud with blue/green deployments, scaling past 1,200 transactions a minute.
Alongside them we build with Terraform, GitHub and Grafana.
BUILT IN-HOUSE, PROVEN ON CLIENT WORK
Reads the estate
An agentic discovery harness that profiles brownfield technology estates, mapping architecture, dependencies, resource usage and team ownership to expose risk, waste and modernisation opportunities.
For this work: Atlas turns months of manual migration discovery into weeks, and keeps the estate map current as waves of workloads move.
Connects the decisions
A queryable knowledge graph and AI reasoning layer that connects estate data, dependencies and business constraints to inform modernisation, migration and investment prioritisations and decisions.
For this work: Compass decides the order. It ranks workloads by risk, cost and business value, so the migration sequence is a decision you can explain to the board.
LIVE IN BUSINESSES LIKE YOURS
FanDuel Canada
A compliant platform built for a new regulated market, and 637,000 customers migrated onto it.
Read the case study
StepChange
350+ servers migrated to AWS and Azure PaaS with Terraform and landing zones; operating costs then cut by around 30%.
I've been taken aback by what has been achieved in such a short space of time.
Mikey Smith
Chief Technology Officer, MoneySuperMarket
THE FIRST STEP
In two to four weeks you get an Atlas baseline map of the estate and a clear answer on which workloads qualify for hyperscaler migration funding. Several clients have found the funding alone changes the business case.
