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Services

Six connected capabilities, delivered on the platform that fits.

Each domain has a shared approach and a platform-specific path. We assess before we recommend, and we stay accountable for what we build.

Service domains

  • Artificial Intelligence

    AI that is chosen for a reason, costed before it is built and governed once it is live.

    • AI strategy and readiness assessment
    • Use-case prioritisation and business cases
    • Generative AI solution design
    • Enterprise knowledge assistants
    • Retrieval-augmented generation

    On Microsoft AzureOn AWS

  • Data and Analytics

    Reporting your executives trust, produced once, governed properly and ready for the AI work that comes next.

    • Data platform strategy and target-state architecture
    • Data estate and AI-readiness assessment
    • Lakehouse and warehouse design
    • Pipeline engineering and orchestration
    • Legacy database and warehouse migration

    On Microsoft AzureOn AWS

  • Cloud Modernisation

    Ageing systems become a cloud platform your team can change safely, recover predictably and account for line by line.

    • Migration assessment and application disposition
    • Landing zone design and build
    • Subscription and account structure
    • Rehost, replatform and refactor delivery
    • Database migration and modernisation

    On Microsoft AzureOn AWS

  • Security and Governance

    Close the ways in, know exactly who can do what, and answer an auditor or a client questionnaire from current evidence rather than memory.

    • Identity and privileged access review
    • Joiner, mover and leaver automation
    • Conditional access and strong authentication
    • Cloud security posture management
    • Data discovery, classification and loss prevention

    On Microsoft AzureOn AWS

  • Platform Engineering and Infrastructure as Code

    Deployments that repeat exactly, carry their own evidence and can be rebuilt from source, so releasing to production stops being an event.

    • Delivery and deployment assessment
    • Infrastructure as code standards and module libraries
    • Environment blueprints and parameterisation
    • CI/CD pipeline design and build
    • Branching, review and release strategy

    On Microsoft AzureOn AWS

  • Managed Services

    Your platform keeps earning its business case after go-live, with cost, security posture, reliability and adoption reviewed on an agreed cycle rather than left to drift.

    • Cloud platform operations
    • Application and integration support
    • Data pipeline operations
    • AI monitoring and evaluation
    • Security posture improvement

    On Microsoft AzureOn AWS

How every engagement runs

Discover, Assess, Design, Build, Adopt, Operate.

The same sequence regardless of domain or platform, with a decision point at every stage.

  1. 01

    Discover

    Understand the business challenge, its cost and who it affects.

  2. 02

    Assess

    Review the current state, readiness, risk and commercial case.

  3. 03

    Design

    Shape the architecture, controls and success criteria.

  4. 04

    Build

    Implement in increments with evidence at every stage.

  5. 05

    Adopt

    Enable the people who use it and prove the outcome.

  6. 06

    Operate

    Run, monitor and improve the environment after go-live.

Free discovery workshop

Start with clarity, not commitment.

Bring one process or technology challenge. We will map the opportunity, the readiness gaps and a recommended next step.