Services

AWS cloud, AI, data and security consulting

Five practices, one accountable team. Start with a single engagement or combine them into an end-to-end AWS transformation shaped around your business objectives.

01 — Build an AWS foundation your business can grow on.

AWS Cloud & Infrastructure

We design, build and operate AWS environments around the AWS Well-Architected Framework, so that security, reliability, performance, cost and operational excellence are engineering decisions rather than afterthoughts. Whether you are starting on AWS, migrating away from legacy infrastructure or improving an environment already in production, we work from your business requirements back to the architecture.

  • Rising and unpredictable infrastructure costs
  • AWS environments that grew organically without an architecture
  • Security and governance gaps across accounts
  • Ageing on-premises hardware and licensing constraints
Enterprise data centre corridor representing AWS cloud infrastructure

02 — Turn AWS AI into measurable business value.

AWS AI, Machine Learning & Generative AI

We start with the decision or process you want to improve, then design the AWS-native AI architecture that supports it. Use cases are prioritised on data availability, risk and measurable value, built on Amazon Bedrock and Amazon SageMaker, and taken through to production with the guardrails, evaluation and monitoring an enterprise requires.

  • Pressure to adopt AI without a clear business case
  • Pilots that never reach production
  • Uncertainty about data readiness and model risk
  • Knowledge locked in documents nobody can search
Abstract neural network over compute hardware representing AWS AI and machine learning

03 — Turn organisational data into intelligence.

AWS Data & Analytics

We build governed AWS data platforms that consolidate operational data, automate the pipelines that feed it and put trusted reporting in front of decision-makers. The same foundation supports business intelligence today and machine learning tomorrow, without a second platform build.

  • Reporting that lives in spreadsheets and personal files
  • Conflicting numbers between departments
  • Manual data preparation consuming analyst time
  • No single, governed view of the business
Data pipelines and analytics dashboards representing an AWS data platform

04 — Secure your AWS environment, data, applications and AI.

AWS Security

We assess your AWS environment against AWS security best practice, design the controls that close the gaps and embed them into architecture, identity and delivery pipelines. The result is a security posture that is measurable, continuously monitored and defensible to auditors and executives.

  • No clear view of your current AWS security posture
  • Over-permissive identities and long-lived credentials
  • Sensitive data without consistent encryption or classification
  • Security findings raised faster than they are closed
Cloud security shield over server infrastructure representing AWS security services

05 — Turn AWS strategy into execution.

AWS Professional Services & Enablement

We embed AWS architects and engineers alongside your teams to deliver the work and leave the capability behind. Engagements range from a focused workshop or architecture review to a co-ordinated transformation programme spanning cloud, data, AI, security and DevOps automation.

  • Delivery slowed by a shortage of AWS specialist skills
  • Manual releases and inconsistent environments
  • Technology initiatives running in isolation from each other
  • Internal teams learning AWS while under delivery pressure
Cloud engineering workspace with automated deployment pipeline visualisation

How we work

One delivery model across every practice

Whether the engagement is a two-week assessment or a multi-year transformation, the same sequence keeps the work accountable.
  1. 01

    Assess

    Understand your business objectives, current environment, risks and opportunities.

  2. 02

    Architect

    Design the right AWS target architecture and transformation roadmap.

  3. 03

    Build

    Implement the cloud, data, AI and security capabilities required.

  4. 04

    Secure

    Embed security, governance, resilience and compliance into the environment.

  5. 05

    Optimise

    Continuously improve cost, performance, reliability and business value.

  6. 06

    Operate

    Provide ongoing AWS expertise, monitoring, support and continuous improvement.

Built around enterprise priorities

Design principles behind every engagement

We apply the same architectural discipline whether we are building a landing zone, a data platform or a production AI service.

Security-first

Protect workloads, identities and data with controls designed in from the start.

Scalable

Architect AWS environments that grow with demand instead of constraining it.

Resilient

Design for availability, continuity and tested recovery, not best-effort uptime.

Cost-conscious

Optimise infrastructure spend without compromising performance or resilience.

Engagement models

Shaped around your team's capacity

No public price list. We scope the work with you and confirm it in a written proposal.
  • Assessments and reviews: architecture, security posture, data maturity, AI readiness
  • Project delivery: landing zones, migrations, data platforms, AI solutions, automation
  • Managed services: AWS operations, FinOps, data operations, security monitoring
  • Embedded expertise: AWS architects and engineers working alongside your teams

Discover how cloud, AI, and data can revolutionize your business

Tell us about your goals and we will come back to you with a practical next step, whether that is a discovery workshop, an architecture review, or a detailed proposal.

Customer-centric
ROI-driven solutions