MGCA / Architecture, cloud & enterprise AI

The next move.
Designed with clarity.

We help organisations design systems, prepare cloud migrations and introduce AI with clear integration, security and operational responsibilities.

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Sculptural emerald glass and platinum architecture
Architecture with a purpose.

A focused starting point

Make the decision
with better evidence.

Choose a defined review when a design, migration or AI initiative needs a closer examination before commitment.

Scope, deliverables and fees are agreed before each engagement.

Beyond the review

Architecture that
connects the whole picture.

Work across business priorities, integration, security, data and operations with a coherent view of the system.

More detail / Agreed around your needs

What does each
engagement involve?

Choose a service below to see when it helps, what we examine and what your team can expect.

Architecture Review

Useful when: A design or supplier proposal needs an independent examination before sign-off.

What we work through

Assumptions, options, integration, security, resilience and operational ownership.

What to prepare

Architecture diagrams, requirements, interface descriptions and the decision deadline.

What you receive

Evidence-linked findings, prioritised risks and a briefing to support your decision.

The exact scope, responsibilities, deliverables and fees are agreed before work starts.

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Azure Migration Readiness

Useful when: You need to understand what could block an Azure migration before committing to a move.

What we work through

Landing-zone readiness, identity, connectivity, migration sequencing, recovery and acceptance.

What to prepare

Workload and dependency information, current environments, business priorities and acceptance needs.

What you receive

A readiness view, unresolved dependencies and practical actions to prepare the migration.

The exact scope, responsibilities, deliverables and fees are agreed before work starts.

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Enterprise AI Readiness

Useful when: A team has an AI idea and needs a controlled route towards a useful pilot.

What we work through

Data access, tool permissions, evaluation, human review and operational boundaries.

What to prepare

One proposed workflow, intended users, data sources and the actions the AI may perform.

What you receive

A scoped pilot recommendation, control considerations and an evaluation approach.

The exact scope, responsibilities, deliverables and fees are agreed before work starts.

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Advisory & strategy

Useful when: Technology priorities are competing and the organisation needs a clearer direction.

What we work through

Current state, target direction, options, dependencies and governance.

What to prepare

Business objectives, current capabilities, constraints and existing programme plans.

What you receive

A decision-led roadmap and a clear view of priorities, trade-offs and next actions.

The exact scope, responsibilities, deliverables and fees are agreed before work starts.

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Solution architecture

Useful when: A programme needs a coherent system design that delivery teams and stakeholders can use.

What we work through

System boundaries, integration contracts, data movement, identity, resilience and operations.

What to prepare

Business requirements, existing platforms, interfaces and non-functional requirements.

What you receive

Agreed architecture views, design decisions and a practical handover for the scoped work.

The exact scope, responsibilities, deliverables and fees are agreed before work starts.

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Cloud transformation

Useful when: Applications or platforms need to move or modernise with a sensible operating model.

What we work through

Cloud foundations, workload grouping, migration options, cutover, observability and cost.

What to prepare

Estate and workload information, platform constraints and migration objectives.

What you receive

A scoped migration or modernisation plan and the architecture needed for the agreed stage.

The exact scope, responsibilities, deliverables and fees are agreed before work starts.

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AI implementation

Useful when: An applied AI capability needs to fit into a real business process and system landscape.

What we work through

Use-case boundaries, model integration, data pipelines, monitoring and human oversight.

What to prepare

The intended outcome, available data, existing systems and acceptance criteria.

What you receive

A scoped solution design, integration approach and agreed implementation or validation outputs.

The exact scope, responsibilities, deliverables and fees are agreed before work starts.

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Generative AI

Useful when: Teams need an assistant for trusted search, summarisation, drafting or controlled actions.

What we work through

Retrieval, prompts and interfaces, tool use, policy controls and evaluation.

What to prepare

User tasks, approved sources, access rules and the decisions that require human review.

What you receive

An agreed assistant or workflow architecture, a validation plan and scoped delivery outputs.

The exact scope, responsibilities, deliverables and fees are agreed before work starts.

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Data science

Useful when: Data needs to support clearer reporting, prediction or operational decisions.

What we work through

Data preparation, shared definitions, analytical methods, pipelines and operational use.

What to prepare

Business questions, data sources, quality concerns and existing reporting or analytics.

What you receive

An agreed data and analytics approach, with outputs scoped to the business question.

The exact scope, responsibilities, deliverables and fees are agreed before work starts.

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Bring us the decision

Where does your
programme need clarity?

Start with a non-confidential outline of the goal, systems and timescale.

Start an enquiry ↗