AI and Copilot
Information architecture is the work that decides whether Copilot succeeds
Generative AI answers are only as good as the content behind them. The preparation that determines quality happens before any licence is assigned.
New guide: assessing organisational readiness for Microsoft 365 Copilot. Read the guide
Move from AI experiments to governed, measurable Copilot and agent capability across Microsoft 365, Dynamics 365 and Power Platform.
Sales, service, field operations and customer data on a platform your teams will use, with the data quality that makes it dependable.
Apps, automation, portals and analytics delivered quickly, inside a platform model that keeps ownership and data boundaries under control.
Cloud platform, migration, integration, Microsoft Fabric analytics and the Microsoft security stack, designed as an operating model rather than a diagram.
Collaboration, content, intranet and employee experience with the information architecture and governance that keep them working.
Independent assessment, roadmapping and business-case support that turn ambition into a sequenced, fundable plan.
Solution, data, integration and security architecture with the decisions written down so the solution can be owned later.
Agile delivery, configuration, low-code development, migration and integration, released through a controlled path.
Functional, integration, acceptance, security and performance testing that produces artefacts you can review.
Stakeholder engagement, communication, training and adoption programmes measured by what people actually do.
Application support, platform administration, monitoring, incident management and a funded enhancement backlog.
Public and financial
Commercial and industrial
Who we are, how we work and how to join us.
Legal and standards
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Most landing zone regret comes from decisions about ownership, cost accountability and change process rather than network topology.
Landing zone designs tend to be assessed on their diagrams. Two years later, the problems that surface are rarely topological. They are questions about who may create what, who pays for it, who approves an exception and how a standard changes.
A full enterprise-scale landing zone is appropriate for organisations with many workload teams and formal separation of duties. An organisation with two application teams and a shared operations function will spend more effort maintaining that structure than it recovers. Start with the smallest structure that satisfies current segregation, cost and compliance requirements, and design the expansion path explicitly.
If any answer is no, the gap is in the operating model rather than the architecture, and it will grow with the estate.
Written by
Marta covers Azure platform design, migration, Microsoft Fabric and the analytics layer above it. She is particularly interested in landing zones as operating models rather than diagrams, and in semantic models that survive a reorganisation.
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