Custom-Built Systems
Turn a business priority into a working AI system.
Build or connect systems around a defined process, with the scope, information and testing agreed before work starts. The aim is a useful improvement to the way your team works, with the necessary checks and professional judgement retained.
Not sure which process to start with? Request your AI Action Plan.
How a project moves from scope to working system
What implementation means
Built around the work and the systems involved
A working implementation needs more than a demonstration. It needs to handle the information, exceptions and review requirements in your process, and fit the tools your team uses.
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Your information
Enough reliable information for the workflow, not a tidy company-wide data estate.
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Exceptions and review
The cases that need judgement, and the checks before the output is relied on.
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The tools you already use
Most builds sit around the accounting, project, document and email systems already in place.
How the work runs
How the project is delivered
We agree the result and the initial scope, then work through the design, development, testing and handover it requires. Where separate investigation is needed before we can make a sound commitment, we explain the questions a focused assessment would resolve.
Four stages inside an agreed project. Each card shows the work we do and what the stage depends on from your side. Review sits with your team before anything moves into use, and handover is part of the project, not an afterthought.
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Scope
The intended result, the process covered, the information required and what stays outside the project.
Your team providesA decision-maker and the people who do the work today.
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Design and develop
System, integration and approval requirements are worked through before the agreed build.
Your team providesAccess, sample records and answers on how exceptions are handled.
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Test with the team Team review
Output quality, exceptions and fit with normal work, checked with the people who will use and review it.
Your team providesTime from the people who will use the system, and a decision on what is ready.
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Introduce and hand over Handover
Responsibilities, documentation and included training or support are made clear before go-live.
Your team providesA named owner after go-live, so the work stays part of the routine.
Who this is for
Established UK built-environment companies with repeated work worth fixing.
Roughly £750k+ turnover is a guide rather than a rule, and there is no upper limit. Trades, sole operators and small owner-operator businesses are not a fit.
- Reporting and information
- Client work
- Operations and delivery
- Commercial control
- Property and development
- Facilities management
- Engineering and design
- Commercial and cost
- Construction delivery
What it costs to start
Scope and price follow the work required
Where the requirement is clear, we can scope and price the project directly. Where important questions remain, a focused assessment may be needed first. The proposal sets out what is included, the investment and any conditions that need resolving before work starts.
Common questions about Custom-Built Systems.
What does a Project Workflow involve?
It means building or connecting a system around a defined business process. We agree the outcome, information, responsibilities and checks, then design, test and introduce it around the way your team works.
How does an AI implementation start?
A defined implementation can be scoped directly where the requirement is clear. Where important questions remain, the Feasibility Study can resolve them before implementation. The scope, fee and information required are agreed before work starts.
How long does an AI implementation take?
It depends on the workflow, the systems it touches and how quickly decisions are made inside the business. We agree a schedule when the scope and dependencies are known. A focused assessment is useful where those require investigation. For the shape of a rollout, read the first 90 days of an AI rollout that sticks.
Do we need our data sorted first?
Not perfectly. A first build needs enough reliable information for one workflow, not a tidy company-wide data estate. Where data control blocks the work, identify the specific check or preparation needed before proceeding.
Will AI implementation replace our existing software?
Usually not. Most builds sit around the accounting, project, document and email systems already in place, because replacing a working system is slower and riskier than automating the work between systems.
Who needs to be involved from our side?
A director who can make the decision, an owner for the workflow being changed, and the people who do the work today. Without a named owner after go-live, a build drifts back to the old routine.
What happens after go-live?
The work moves to integration: connecting the build to the tools and working practices the business already uses, fixing friction and deciding whether a second workflow is worth building.
Know what happens after delivery
Ownership, access, licences, documentation and support are set out in the proposal and agreement. You should know how the system will be maintained and what a future handover would involve.
Which companies is this for?
Established companies across the UK built environment with a defined process they want to improve. The right starting point depends on the business need, systems and people involved, not just turnover.
What if the feasibility study says AI is not worth it?
Then we say so and you do not build.
Can you implement more than one workflow at once?
It is rarely the right first move. One workflow in real use gives the business proof, a trained team and a reason to fund the next one. Broad rollouts tend to stall before any of them is finished.
How do we know whether the implementation paid back?
The measure is agreed before the build using relevant records: hours on the workflow, time to complete it, or the cost of getting it wrong. A measure agreed afterwards is not a measure.
Discuss the process you want to improve
Want a wider view first? Request your AI Action Plan.