Digital transformation consultancy for UK public sector modernisation
Methods is a 35-year-old public-sector focused consultancy operating at scale across central government departments. The stack is heavily Microsoft-centric (Azure, Entra ID, Defender, Sentinel) paired with cloud-native infrastructure (Kubernetes, Docker, PostgreSQL, Redis), signalling deep integration with UK government tech standards. Hiring is senior-weighted and security-conscious—7 active security roles alongside engineering and ops—reflecting the complexity of public-sector delivery and the emphasis on compliance-first transformation.
Notable leadership hires: Technical Lead
Methods partners with UK central government departments and agencies to modernise legacy infrastructure and transition to platform-based service delivery models. The consultancy operates across advisory, digital transformation, ERP implementation, and analytics, with specialisation in public-sector discovery and service redesign. Active projects span identity management, document platform deployment, configuration management improvements, and data quality automation—each addressing systemic friction in government operations. The 201–500-person workforce is predominantly senior and mid-level talent, concentrated in engineering, operations, design, and security disciplines.
Methods operates on Microsoft Azure (including Azure Stack Hub, Functions, SQL Database, Pipelines, DevOps), complemented by Kubernetes, Docker, PostgreSQL, Redis, and cloud-native tools (NATS, MinIO). Security tooling includes Keycloak, OAuth, Azure Entra ID, Microsoft Sentinel, and Defender XDR. They recently adopted Salesforce Flow.
Current projects include identity management programmes, document management platform deployment, configuration and asset management roadmaps, CMDB integration with service mapping, data quality automation, and business analysis service development—all aimed at modernising UK public-sector operations.
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Methods's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.