Nine practices, one accountable delivery team. Engage a single practice for a specific problem, or several as one programme with a single point of ownership.
Decide what to build, what to retire and what to leave alone - with a costed plan the board can approve.
Most transformation budgets are spent before anyone agrees on the target state. We start with evidence: an application portfolio assessment, a dependency map, and a hard look at where your run costs actually go. What comes out is a sequenced roadmap tied to business outcomes, not a technology wish list.
What you get: A roadmap with named owners, real numbers and a defensible sequence.
Product teams that ship - API-first systems, design systems and test automation built in from the first sprint.
We run cross-functional pods: product, design, engineering and QA in one unit with one backlog. Every pod owns its CI/CD pipeline, its test coverage and its production alerts. That is why our handovers are short - there is nothing hidden to hand over.
What you get: Working software in weeks, with the pipeline and tests to keep it working.
Migration that finishes, infrastructure defined in code, and a cloud bill you can explain line by line.
Lift-and-shift gets you to the cloud and leaves the cost problem intact. We modernise in waves - landing zone first, then the workloads that earn the most from moving, then the long tail. Every wave ships with infrastructure as code, an observability baseline and a FinOps review.
What you get: Environments that rebuild from a repository - and cost less each quarter.
Governed data platforms and AI that survives contact with production, audit and your regulator.
We treat data as a product: owned, versioned, documented and monitored for quality. On top of that foundation, AI becomes an engineering problem rather than a science project - with evaluation harnesses, human review paths and cost ceilings defined before launch.
What you get: One trusted number per metric, and AI that ships with an audit trail.
Zero-trust identity, continuous monitoring and audit evidence generated as a by-product of good practice.
Security that lives in a separate document gets bypassed. We embed controls into pipelines and platform defaults, so the secure path is also the fastest path. Then we prove it - with testing, tabletop exercises and evidence mapped to the frameworks you report against.
What you get: Controls that hold under test, and evidence ready before the auditor asks.
SAP, Oracle, Dynamics and Salesforce programmes delivered without the data migration horror story.
Enterprise application programmes fail on two things: data quality and process fit. We front-load both - profiling source data in week one and running conference-room pilots with the people who will actually use the system, long before go-live is at stake.
What you get: Go-live weekends that end on schedule, with reconciled data.
Find the expensive processes with data, then automate them end to end - not task by task.
Bot sprawl is what happens when automation starts with a tool. We start with process mining to see where time and rework actually accumulate, fix the process, then automate what remains. Orchestrated workflows, with humans kept in the loop wherever judgement matters.
What you get: Cycle times cut in half on the processes that were costing the most.
24/7 application and infrastructure support with SLAs, real observability, and a backlog that shrinks.
A support contract that only closes tickets guarantees the same tickets next quarter. Ours is measured on problem elimination too: every recurring incident gets a root-cause fix on the roadmap, and we report the trend line publicly to your team every month.
What you get: Fewer incidents each quarter - not just faster responses to the same ones.
The reason our platforms get used: adoption, capability and wellbeing designed alongside the architecture.
This is where Armonix started, and we kept it. A system nobody adopts is an expensive shelf. We design the operating model, the training, the incentives and the wellbeing safeguards in parallel with the build - so the day the platform lands, the organisation is already ready for it.
What you get: Adoption curves that keep climbing after the launch email.
Every engagement runs through the same four stages. You always know which one you are in, what comes out of it, and what it costs before it starts.
2 – 4 weeks
We map the current estate, interview the people who run it and quantify the cost of standing still. You get a findings pack and a costed target state - whether or not you continue with us.
3 – 6 weeks
Target architecture, sequencing, and a thin vertical slice built for real to prove the hard assumptions. Decisions get recorded so the reasoning survives the people who made it.
Continuous
Cross-functional pods ship in two-week increments against a visible backlog. Automated tests, security scanning and infrastructure as code are in the pipeline from sprint one, not retrofitted.
Ongoing
We operate what we build under SLA, then keep improving it - cost per transaction down, reliability up, incident count trending toward zero. Or we transition it cleanly to your team.
The commercial structure should follow the shape of the problem, not the other way round. Most clients end up using more than one over time.
A defined scope, a fixed price and an agreed definition of done. Best when the problem is well understood and the deadline is immovable.
Best for · Migrations, rollouts, compliance deadlines
A stable cross-functional team - product, design, engineering, QA - working to your priorities on a monthly rate. Best when the roadmap will keep evolving.
Best for · Product development, platform teams
A ring-fenced extension of your engineering organisation, on your tooling and your standards, scaled up or down with a month's notice.
Best for · Sustained capacity, cost structure change
We take operational accountability under SLA, with transparent monthly reporting and a committed reduction in recurring incidents.
Best for · Application support, cloud operations
No badge collection. These are the tools we hold certifications in, run in production for clients, and are willing to be assessed on.
If yours is not here, ask it directly — you will get a real answer rather than a callback.
A diagnostic can usually begin within two weeks of signature. A full delivery pod takes three to five weeks to assemble, because we staff from our bench and named senior people rather than whoever is free.
A stalled migration, a platform that will not scale, an audit finding you cannot close, or a team stretched past its limit. Start with the problem - the engagement model can follow.
What happens next
From a consultant, not an auto-responder or a sales sequence.
We establish whether we are the right fit. Sometimes the answer is no, and we say so.
Scope, sequence, team, commercials and assumptions - in plain language.
No NDA needed for a first conversation. If you would rather send a brief first, email is fine.
