AI for UK
Manufacturers
Established manufacturers often run modern machinery alongside an ageing ERP or MES, local spreadsheets and knowledge held by a few experienced people. We start with one production or office process that has a measurable cost.
Read shop-floor data
Add business context
Assign the action
Production problems reach the person who can fix them.
One plant
ONE MEASURABLE PROCESS TO START
Existing systems
ERP, MES AND SHOP-FLOOR DATA
Named owner
OPERATIONS, FINANCE AND IT INVOLVED
Where manual work slows an established plant
A useful starting point is the part of estimating, planning, quality or maintenance where the plant already records enough information to measure a result.
The difficult part is connecting plant data, operating rules and the people responsible for the result. A works manager, planner and estimator will usually know where the delay sits long before a general AI assessment does.
We connect a small number of useful workflows to the systems you already operate.
TODAY'S MANUFACTURING SYSTEMS
- Quoting from a spreadsheet, by feel
- Planning whiteboard, redone Monday
- Maintenance run-to-failure
- QC by eye, on a sample
- Tribal knowledge in two people's heads
WITH THE FIRST AI LOOPS
- RFQ data prepared for estimator review
- Schedule reflows when an order, machine or shift changes
- Condition changes flagged for inspection
- Vision inspection tested against known defects
- SOPs and tribal knowhow in one place the AI can read
Manufacturing workflows worth automating
The starting point depends on available plant data, operating cost and who can review the result. These are candidate workflows to assess.
Predictive maintenance
Where suitable condition data exists, test whether changes can help the maintenance team prioritise inspection. Measure missed faults and false alarms before relying on predictions.
Vision-based QC
Test camera-based inspection against known defects and normal variation. The quality team agrees coverage, rejection thresholds and the checks that remain with people.
Scheduling and forecasting
Use order history, stock, lead times and capacity constraints to support planning. The planner reviews proposed changes before the schedule is updated.
RFQ and drawing extraction
Extract information from customer drawings and specifications into an estimating draft. Test supported file formats and link assumptions and quantities to sources for the estimator.
Shop-floor copilot
Make approved SOPs, drawings and production records searchable with revision references. Operators can find the source and escalate missing or conflicting instructions.
How we start
We're a UK AI engineering team. Our work spans engineering, construction, recruitment, financial services and workshop operations. We start with the existing process and the people accountable for it.
We assess the plant and office process, choose a measurable first use case and test it alongside current operations before proposing wider scope.
BOOK A SHOP-FLOOR AUDITShop-floor audit
We review the relevant lines and office process with the works manager, planner and estimator. The proposal records the data available, a first use case and its expected costs.
Plant brain
Connect approved SOPs, drawings, routings and supplier information with access and revision controls. The integration plan defines how records relate to your ERP and MES.
First loop, live
Sensors or data feeds, model, tools the AI can call and a human review point where needed. You see it run on your numbers, parts and customers, giving the team evidence for deciding whether phase two is justified.
Govern, then add the next loop
Before live use, agree quality checks, security, data handling and the responsible operational owner. Further workflows are assessed separately against their own risks and business case.
How we keep the first project usable
A useful first project needs an agreed measure and a realistic way to collect it. Missing or inconsistent data may need attention before a model can be evaluated.
A plant can have a capable model and still miss its target because source data, integration, ownership or operator adoption was not settled. Those dependencies belong in the scope and investment case.
The first phase is designed to settle them against one measurable workflow.
WHAT THE FIRST PHASE MUST SETTLE
- A bounded workflow. We choose a process with usable data, a named owner and a result the business can measure.
- A defined review point. The estimator, planner or quality engineer keeps authority over the decisions that matter. Any later reduction in review must be supported by evidence and policy.
- Representative plant data. The workflow is tested against real cases and exceptions before controlled use on live work.
- An agreed integration boundary. The ERP, MES and local records remain authoritative where appropriate, with interfaces and ownership documented.
- Commercial terms are explicit. Source, models, data, IP, hosting, support and handover are agreed before the build.
We already build around workshop and engineering work
Olton Bedrooms uses custom project, workshop-time and stock software. Our wider engineering work connects business-development and operational data to the systems staff already use.
When this is worth discussing
We work best when there is a real operating problem, enough volume to measure and people from the affected teams who can make decisions.
Usually a good fit
- An established UK business, usually with annual revenue above £10m
- A repeated process with a known cost, delay, error rate or capacity problem
- A senior sponsor and a day-to-day owner who understand the work
- Access to the relevant staff, systems, sample records and security requirements
We may point you elsewhere
- A standard product already covers the process well
- The requirement is a one-off small build with no wider operating case
- There is no owner or access to the people and data needed to test the result
- The plan relies on AI making high-impact decisions with nobody responsible for review
Questions the buying team will ask
We're not a data-rich plant. We've got an ageing MES and Excel. Are we too far behind?
Not necessarily. The first use case should rely on a controlled slice of data and improve it as part of the work. We assess the source quality and manual records before deciding whether the use case is viable.
Is this Made Smarter? Can we get the grant?
Made Smarter runs adoption support and matched-grant schemes through regional partners. If your company qualifies, that support may help fund a diagnostic or technology project. We can scope our work alongside the programme, but eligibility and funding decisions sit with the relevant regional team.
What about the EU AI Act, ISO 9001, the ICO?
Selling into the EU does not make every AI use case high-risk, but the Act may apply depending on the system and your role. It became generally applicable on 2 August 2026. Following Regulation (EU) 2026/1744, Annex III high-risk rules apply from 2 December 2027 and product-related high-risk rules from 2 August 2028. We map the workflow alongside your ISO 9001 quality system and current UK data-protection requirements.
How do you handle health and safety on the shop floor?
The AI workflow must not bypass machine safety functions or established site controls. Any interaction with equipment needs review by the responsible safety and control-system specialists before use.
Does this rip out our ERP / MES?
We normally connect to the systems already running the plant rather than combining an AI project with an ERP replacement. That can include Sage, SAP Business One, Microsoft Dynamics, Epicor, Infor, a custom MES and local spreadsheets. We agree the data boundary and integration plan with your IT team before building.
Our works manager isn't convinced. He's seen a lot of "transformation" projects.
The works manager and affected operators should help select and test the workflow. We document their concerns and compare the pilot with the current process before proposing wider use.
How much does it cost?
Audit is fixed-fee. First loop is priced before we start, scoped against the audit. Ongoing loops fixed per phase. We tell you the number on the call. If a Made Smarter grant applies, we'll help you scope the application against it.
Talk to us about the manufacturing bottleneck
Tell us which measure matters most, such as quote turnaround, scrap, downtime or planning accuracy. We will map the source data, operational owner and evidence needed for a useful first programme.