9 connected capabilities, delivered on the platform that fits.

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 Azure/On AWS

• Agentic AI and Multi-Agent Orchestration

  Multi-agent systems with explicit tool boundaries, their own identity, a deterministic orchestrator and a human approval step wherever money or reputation moves.

  • Agentic use-case assessment and triage
  • Deterministic versus autonomous design review
  • Multi-agent orchestration architecture
  • Tool and function schema design
  • Model Context Protocol (MCP) server design

  On Microsoft Azure/On AWS

• Data and Analytics

  Reporting your executives trust, produced once, with a modelled layer underneath it that the next AI or forecasting project can stand on.

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

  On Microsoft Azure/On AWS

• Data Governance and Compliance

  Discovery, classification, access control and audit evidence over the data you already hold, designed against the obligations that actually apply to you.

  • Sensitive data discovery and classification
  • Data catalogue and lineage
  • Sensitivity label taxonomy design
  • Data loss prevention policy design
  • Fine-grained access control on lake and warehouse data

  On Microsoft Azure/On 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
  • Business case and total cost of ownership modelling
  • Migration wave planning and execution
  • Rehost, replatform and refactor delivery
  • VMware exit and data centre exit planning

  On Microsoft Azure/On AWS

• Landing Zone and Platform Foundations

  The account structure, identity, network and policy baseline that every future workload inherits, deployed from code rather than assembled by hand.

  • Landing zone design and build
  • Management group and organizational unit design
  • Subscription and account vending automation
  • Policy guardrail baselines
  • Identity and access foundation

  On Microsoft Azure/On 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 phishing-resistant authentication
  • Zero trust access design
  • Cloud security posture management

  On Microsoft Azure/On 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 Azure/On 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 Azure/On AWS