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When Teams Call Us


Architecture work usually starts with a decision that cannot be made confidently, because nobody holds a complete picture of the business, its information, and the systems that support it.

Strategy is agreed, execution is not


The direction is set at board level, but nobody can show which capabilities, processes, and systems have to change to deliver it, or in what order.

A transformation programme has stalled


The direction was agreed, but delivery keeps hitting dependencies, unclear ownership, and decisions that were never written down.

AI pilots are not reaching production


Promising pilots stop at the point where data access, integration, security, and ownership have to be resolved for real.

The estate costs more every year


Overlapping applications, ageing platforms, and duplicated data raise cost and risk, and it is unclear what can safely be retired.

A merger or restructuring is coming


Two operating models, two application estates, and overlapping data. Someone has to decide what the combined organisation runs on, and what gets retired.

Nobody can see the whole landscape


Systems have grown through projects, acquisitions, and workarounds. The documentation is out of date, and the real integrations live in people’s heads.

Powered by AI & Automation

Traditional architecture work is slow because most of the effort goes into gathering information rather than making decisions. We automate the gathering, so the time goes where it belongs.

  • Automated discovery — we read what your estate already tells us: inventories, cloud accounts, code repositories, and integration logs.
  • AI-assisted analysis — contracts, runbooks, and system documentation are summarised into a current-state picture your team can correct quickly.
  • AI-assisted drafting — capability maps, decision records, and roadmap options are drafted for an architect to challenge, edit, and own.
  • Automated standards checks — designs and cloud configurations are checked against the standards you agreed, not reviewed once and forgotten.
  • A living architecture — the repository is refreshed by automation, so it still reflects reality after the engagement ends.

Request an architecture assessment

"AI is fast at assembling the picture. Deciding what to keep, replace, or retire is still an architect's judgement, and the client's decision."

logicacode architecture principle

Four Domains, One Architecture


Enterprise architecture covers the whole organisation — people, processes, information, and technology — not the technology layer alone. Each domain only makes sense in relation to the others.

Business


The operating model: capabilities, value streams, processes, roles, and the organisational structure that has to deliver the strategy.

Information


What the business needs to know: data domains and ownership, how information flows between functions, and the quality it has to meet.

Application


The systems that support each capability, where they overlap, and how they fit together to support the work end to end.

Technology


The platforms underneath: infrastructure, cloud, networks, and the security and operational foundations everything else depends on.

Not the same as solution architecture


A solution architect designs one system well. An enterprise architect works across them: the decisions that affect several programmes at once, the standards everyone builds to, and the trade-offs between what one team needs and what the organisation can sustain. We do both, and we keep them distinct.

It needs an executive sponsor


Architecture decisions cross budgets and departments, so they hold only when someone senior owns them. We ask for that sponsor at the start. Without one, the work produces diagrams instead of change — the single most common reason architecture programmes fail.

What We Deliver


Each engagement produces something your teams can act on — not a document that is read once and filed.

Architecture assessment


A current-state view of applications, integrations, and data flows, with the risks, duplication, and constraints that matter for the decision ahead.

Target state & roadmap


Options with honest trade-offs, a recommended target state, decision records, and a sequence of moves your delivery teams can start on.

Business architecture


Capability models, value streams, and process and role definitions — the view that connects what the organisation is trying to do with what supports it.

Information & data architecture


Data domains, ownership, and flows between functions, so reporting, compliance, and AI all draw on the same understanding of the business.

Capability map & application portfolio


What the business does, which systems support it, where they overlap, and a defensible view of what to keep, invest in, or retire.

Integration & API architecture


How systems exchange data, which patterns to standardise on, and how to reduce the point-to-point connections that make change expensive.

Cloud & data platform architecture


Platform choices, landing zones, and data foundations that make analytics and AI practical instead of a special case each time.

AI reference architecture


The pattern your AI work follows: data access, model and platform choices, security boundaries, human review, and the path from pilot to production.

Architecture governance


Standards, review practices, and design authority support that teams can actually follow — supported by automated checks rather than meetings alone.

Technology due diligence


An independent read on the state of a technology estate before an investment, acquisition, or major programme commitment.

How an Engagement Runs


The same three stages as every logicacode engagement, applied to architecture. Timings below are typical; the scope of your estate sets the real shape.

01

Discover

Typically 2–4 weeks


Automated discovery of the landscape, AI-assisted review of existing documentation, and interviews with the people who know how it really works.

You provide: access to inventories and the right people.
You receive: a validated current-state picture and the questions that matter.

02

Build

Typically 4–8 weeks


Target-state options, trade-offs, and decision records — with prototypes or proofs of concept where a decision needs evidence rather than opinion.

You provide: decisions at agreed checkpoints.
You receive: an agreed target state, decision records, and a sequenced roadmap.

03

Deploy

Handover, then ongoing as agreed


Handover into delivery, with governance, automated standards checks, and a repository that stays current as the estate changes.

You provide: the teams who will carry the work forward.
You receive: working governance and an architecture that stays accurate.

Working With Your Team


Most clients already have architects. We are there to add capacity, an outside view, and the automation that makes the analysis faster — not to replace an in-house function or to hand over a framework nobody asked for.

Where you have no architecture function yet, we can act as the design authority for a defined period and leave your team able to run it.

We work in whichever framework and notation you already use — TOGAF, ArchiMate, Zachman, or your own — rather than arriving with one and asking everyone to learn it.

From Architecture to Delivery


Architecture earns its reputation for shelfware when the plan and the delivery sit in different places. Here the same teams that design the target state also build it: AI and automation, software engineering, and data and cloud work. Every roadmap move names the measure that will show it worked.

AI & Intelligent Automation · Software Engineering · Data & Cloud Modernization

Start with the picture, not the plan

Tell us the decision you are trying to make. The first conversation is a 45-minute call with an architect, and ends with an honest view of whether we can help. We reply to every inquiry within two business days.

Request an architecture assessment