Two people at a wooden table, one typing on a laptop and the other pointing while sitting near an open blank notebook with pens.
Practices

Five practices. One engineering standard.

Practice
1

Data & AI

We transform enterprise data into actionable intelligence — through modern data platforms, advanced analytics, artificial intelligence and automation. Where regulation demands it, our AI deploys on-prem and air-gapped, inside your perimeter.

  • Enterprise Data & Analytics Platforms
  • Data Virtualisation & Data Fabric
  • AI & Generative AI Solutions
  • Advanced Analytics & Dashboards
  • Machine Learning & Forecasting
  • Data Engineering & Integration
  • Conversational AI & Virtual Assistants
  • Reporting & Business Intelligence
  • AI Governance & Responsible AI
Diagram of the Data & AI stack: sources, pipelines, governed store, retrieval and models, with the retrieval layer highlighted.
Data & AI
Practice
2

Digital Engineering

We modernise, build, integrate and scale the secure digital platforms and enterprise applications your business runs on — aligned to evolving customer expectations and to the systems you already operate.

  • Development & Modernisation
  • Digital Banking & Financial Services
  • Product Engineering Services
  • Cloud-Native Development
  • Low-Code & Workflow Automation
  • Enterprise Platform Engineering
  • Enterprise Integration — IBM Practice
  • Managed Engineering Services
Diagram of the Digital Engineering stack: channels, APIs, integration and core systems, with the integration layer highlighted.
Digital Engineering
Practice
3

Cybersecurity

Protect. Detect. Respond. Our team finds critical vulnerabilities before attackers do — credited in vendor halls of fame for zero-day discoveries and active in bug bounty programmes — and delivers that capability alongside a catalogue of proven partner platforms across endpoint, data, network, identity and application security.

  • Endpoint Security
  • Data Security & Protection
  • Data Privacy & Governance
  • Network Security
  • Secure Identity & Authentication
  • Application Security
  • Security Management & SIEM
  • Advisory, GRC & Compliance
  • Managed Security Services
Diagram of the Cybersecurity stack: endpoint, network, identity, application and SIEM, with the SIEM layer highlighted.
Cybersecurity
Practice
4

Cloud, Infra & DevOps

Cloud engineering on AWS and Azure, the delivery automation that keeps change fast and auditable, and FinOps that puts cloud spend back under control — without slowing delivery down.

  • Cloud Migration — AWS & Azure
  • Hybrid Cloud Enablement
  • FinOps & Cloud Cost Optimisation
  • DevOps, DevSecOps & CI/CD
  • Kubernetes & Platform Engineering
  • Monitoring & Observability
  • GitOps & Infrastructure as Code
  • Cloud Platform Management
  • AI Infrastructure & GPU Environments
  • Infrastructure & Managed Services
Diagram of the infrastructure and delivery stack: pipeline, platform, cluster and infrastructure, with the platform layer highlighted.
Cloud, Infra & DevOps
Practice
5

Talent & Managed Solutions

Senior capability on demand — IBM product specialists, low-code developers, niche platform skills and elite architects placed inside your programme, working in your environment and leaving the capability behind.

  • Resource Augmentation — IBM
  • Low-Code Development Capability
  • Niche Platform & Specialist Skills
  • Architecture as a Service (AaaS)
  • Skills Empowerment in Client Teams
  • Managed Services
  • SAMA, NDMO & PDPL alignment
Diagram of the Talent & Managed Solutions engagement model: architecture, engineering, delivery and operations, with architecture highlighted.
Talent & Managed Solutions