Capabilities

Capability is evidence, not the pitch

Clients buy an outcome. These are the disciplines we assemble behind it, and the standards each one is held to.

Product strategy

Opportunity framing, scope prioritisation, commercial modelling and roadmap sequencing.

Discovery workshopsScope and roadmapSuccess measuresBusiness case

UX and product design

Research, workflow design, interface design and design systems built for real operational use.

User researchPrototypingDesign systemsAccessibility

Web and mobile engineering

Production applications built on mainstream, maintainable technology your team can hire for.

React and TypeScriptNode and .NETiOS and AndroidAPI design

AI and agentic systems

Retrieval, document processing, assisted decisioning and agent workflows with human review points.

RAG pipelinesDocument extractionAgent workflowsEvaluation harnesses

Data and integration

Connecting the systems your operation already depends on, with reporting people trust.

Integration layersData warehousingReportingMigration

Cloud and DevOps

Environments, pipelines and observability that make releases routine rather than risky.

CI/CDInfrastructure as codeMonitoringCost optimisation

Quality engineering

The human verification layer behind AI-accelerated delivery.

Test automationRegression suitesPerformance testingRelease verification
Engineering standards

Where AI is used, and where it is deliberately not

AI assists discovery synthesis, code generation, test authoring and review preparation. It does not make architecture decisions, approve its own output or release to production.

  • Every generated change is reviewed by a named engineer.
  • Critical paths carry automated tests before an increment is accepted.
  • QA verifies each release against the acceptance criteria agreed in Discover.
  • Architecture decisions are recorded with the alternatives that were considered.
Delivery System TopologyContinuous Governance
1. Discovery & Spec Generation
AI synthesis of user feedback & requirements · Principal Architect review gate
2. AI-Accelerated Implementation
Component scaffolds, API schemas & test fixtures · Named Senior Engineer review
3. Human Verification & Release
Automated test pass rate verification · End-to-end regression & QA sign-off