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Everything needed to build, secure and run enterprise technology

Nine practices, one accountable delivery team. Engage a single practice for a specific problem, or several as one programme.

Scope an engagementEngagement models

Practice 01

Technology Consulting & Strategy

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 we deliver

  • Enterprise & solution architecture
  • Application portfolio assessment
  • Technology due diligence
  • Modernisation business cases
  • Build-vs-buy evaluation
  • IT operating model design

Outcome: A roadmap with named owners, real numbers and a defensible sequence.

Practice 02

Custom Software & Product Engineering

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 we deliver

  • Web & mobile application development
  • Platform and multi-tenant SaaS builds
  • API strategy and integration layers
  • Design systems and accessibility (WCAG 2.2)
  • Automated testing and release engineering
  • Legacy application re-platforming

Outcome: Working software in weeks, with the pipeline and tests to keep it working.

Practice 03

Cloud & Infrastructure Modernisation

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 we deliver

  • AWS, Azure and Google Cloud migration
  • Landing zones and multi-account governance
  • Kubernetes and container platforms
  • Terraform-based infrastructure as code
  • Site reliability engineering and SLOs
  • FinOps and cloud cost optimisation

Outcome: Environments that rebuild from a repository - and cost less each quarter.

Practice 04

Data, Analytics & AI

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 we deliver

  • Lakehouse and data platform engineering
  • Data governance, lineage and quality
  • Decision intelligence and forecasting
  • MLOps and model lifecycle management
  • Generative AI copilots with guardrails
  • Executive analytics and self-service BI

Outcome: One trusted number per metric, and AI that ships with an audit trail.

Practice 05

Cybersecurity & Trust

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 we deliver

  • Zero-trust architecture and segmentation
  • Identity and access management
  • Cloud security posture management
  • Vulnerability assessment & penetration testing
  • Managed detection and incident response
  • ISO 27001, SOC 2, GDPR & DPDP readiness

Outcome: Controls that hold under test, and evidence ready before the auditor asks.

Practice 06

Enterprise Applications & ERP

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 we deliver

  • ERP selection, rollout and rescue
  • CRM and customer platform implementation
  • Integration and middleware architecture
  • Data migration and reconciliation
  • Process re-engineering and configuration
  • Hypercare and post-go-live stabilisation

Outcome: Go-live weekends that end on schedule, with reconciled data.

Practice 07

Intelligent Automation

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 we deliver

  • Process mining and opportunity assessment
  • Robotic process automation at scale
  • Workflow and business rules orchestration
  • Document and email intelligence
  • Agentic automation with human review
  • Automation CoE setup and governance

Outcome: Cycle times cut in half on the processes that were costing the most.

Practice 08

Managed Services & Digital Operations

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 we deliver

  • Application management services (L1–L3)
  • Infrastructure and network operations
  • Observability, alerting and on-call
  • Release management and patch cycles
  • Continuous cost and performance tuning
  • Monthly service reviews with trend reporting

Outcome: Fewer incidents each quarter - not just faster responses to the same ones.

Practice 09

Workforce & Change Enablement

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 we deliver

  • Organisational and operating model design
  • Change management and adoption programmes
  • Technical skills academies and enablement
  • HR process and workforce planning
  • Leadership alignment and communication
  • Wellbeing and burnout-prevention frameworks

Outcome: Adoption curves that keep climbing after the launch email.

Engagement models

Choose the way of working that fits

Commercial models matched to how well-defined the problem is, and how long you need us.

  • Fixed-outcome programme

    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

    Discuss this
  • Most flexible

    Dedicated delivery pod

    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

    Discuss this

  • Offshore delivery centre

    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

    Discuss this

  • Managed service

    We take operational accountability under SLA, with transparent monthly reporting and a committed reduction in recurring incidents.

    Best for: Application support, cloud operations

    Discuss this

FAQ

Questions we hear most often

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.

Let's talk

How can we help you build what's next?

Tell us what is not working. You will speak to a consultant, not a sales script, and hear back within one working day.

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