Enterprise Architecture and technology strategy
Define how business capabilities, information, applications, technology and operating model need to change together. Establish target states, principles, transition choices and roadmaps that give portfolios and programmes a coherent direction.
This work helps leaders decide what to change, what to stop, what to standardise and where flexibility is deliberate.
Solution and technical architecture
Turn an outcome into a coherent design that can be built, secured, operated and changed. Make system boundaries, options, non-functional requirements, interfaces, transition states and technical trade-offs explicit.
The level of detail follows the consequence of the decision, not a fixed documentation template.
Project and programme architecture
Maintain the architectural thread across workstreams, suppliers and delivery stages. Manage cross-cutting decisions, dependencies, exceptions, risks and technical debt while keeping the target and transition path current.
Architecture should remain answerable to the programme rather than becoming a separate activity around it.
Data, integration and platform architecture
Design how information is owned, structured, moved, governed and made useful. Define data-platform direction, integration and API patterns, information flows, platform responsibilities and the foundations needed for analytics, automation and AI.
AI may expose weaknesses in data and integration, but it does not make every data problem an AI project.
Design authority and architecture assurance
Create proportionate governance around decisions that are difficult or expensive to unwind. Establish review forums, decision records, standards, exception routes, supplier challenge and visibility of technical risk and debt.
The objective is faster, better-controlled decisions, not an architecture bureaucracy.