AI Consulting for UK Manufacturing
Demand forecasting, quality inspection, maintenance and scheduling on your ERP and MES data, in production in 3 to 8 weeks.
- Demand-forecast accuracy in production
- 88%
- Typical time to production
- 3 to 8 wks
- AI deployments
- 200+
- Or your cloud, your choice
- On site
The short answer
What does an AI consultant for manufacturing do?
Part of our AI consulting work across the UK.
UK manufacturing
Where UK manufacturers are with AI
Make UK's 2026 report found that only about 2% of UK manufacturers have AI widely embedded across their operations. Just under 40% use it in some departments, and nearly one in five have not adopted it at all. Most use is in back-office work such as HR, finance and administration; on the factory side, only 11% use AI in production, 7% in supply chain and 6% in quality control.
The main barrier is skills. More than half of manufacturers say a shortage of skills stops them moving from small trials to full use. That is the gap an outside team fills: engineers who have built these systems before and can get one running on your data without you hiring a data science team first.
Government support exists too. The Made Smarter programme helps SMEs adopt digital technology, and a focused first AI project fits well alongside it.
UK manufacturing and AI
- Of UK manufacturers have AI widely embedded across operations
- 2%
- Use AI in production, 7% in supply chain, 6% in quality control
- 11%
- Say skills shortages stop them moving beyond trials
- 50%+
- Possible boost to UK GDP by 2035 from wider digitalisation
- £150bn
Source: Make UK, AI, Skills and the Future of the UK Manufacturing Sector (2026).
Use cases
What AI can do for a UK manufacturer
Six places where AI pays back in manufacturing. We start with the one that matters most to you.
Demand forecasting and inventory
Forecasts that account for seasonality, promotions and order history, linked to safety stock so you hold less without running out.
- Forecasting by product and site
- Safety stock modelling
- Planner-friendly dashboards
- ERP integration
Visual quality inspection
Computer vision that spots defects on the line from camera images, flagging parts for a person to check.
- Defect detection
- Images from existing cameras
- Human review loop
- Scrap and rework tracking
Predictive maintenance
Models on machine and sensor data that warn before a failure, so maintenance is planned instead of reactive.
- Sensor and log data
- Failure risk scoring
- Maintenance alerts
- Downtime reporting
Production scheduling
Scheduling support that balances orders, capacity and changeovers, so planners spend less time in spreadsheets.
- Capacity and changeover rules
- What-if scenarios
- Order priority
- MES integration
Quotes, RFQs and documents
Automation that reads drawings, specs and RFQs, drafts quotes and pulls data from supplier documents.
- RFQ and quote drafting
- Specification extraction
- Supplier document processing
- Approval workflow
Supply chain visibility
One view of suppliers, lead times and risks across ERP and supply chain systems, with alerts when something slips.
- Supplier lead times
- Late order alerts
- Risk dashboards
- Data platform
How we work
A remote team with plant data experience
Agility has no UK office. Our senior engineers are based in Ahmedabad, India, and work with UK manufacturers remotely, holding calls and demos in the UK morning and early afternoon. Each project has a fixed scope and price agreed before the build, weekly demos and full access to the code.
We work with the systems plants already run, including SAP ERP, Siemens MES and Oracle SCM, and can deploy in your cloud or on site where data must stay inside the factory. See also our pages on AI development cost and supply chain AI consulting.
Process
How a manufacturing AI project runs
From first call to production, with the scope and price fixed before the build.
- 01
Discovery
A free 30-minute call about the problem on the plant floor, the data you have and what success looks like.
- 02
Scope
A written proposal with a fixed scope, milestones and price, agreed before any build starts.
- 03
Build
Senior engineers build in short cycles on your data, with weekly demos and full access to the code.
- 043 to 8 weeks
Go live
Production deployment in your cloud or on site, with documentation and training for your team.
Proof
Manufacturing AI in production
Demand forecasting and inventory
88% forecast accuracy on unified plant data
We built a machine learning demand forecasting engine for a manufacturer, unifying SAP ERP, Siemens MES and Oracle SCM data. It reached 88% prediction accuracy in production and let planners manage inventory ahead of demand instead of reacting to stockouts.
Read the full case study- Prediction accuracy in production
- 88%
Related
More on AI for industry
FAQ
AI consulting for UK manufacturing: common questions
Which UK AI consultancies have experience applying AI in manufacturing?
Look for a consultancy that has put manufacturing models into production, not only pilots, and can show results on real plant data. Agility builds AI for manufacturers remotely from India, with no UK office. Our demand forecasting engine for a manufacturer reached 88% prediction accuracy in production on unified SAP ERP, Siemens MES and Oracle SCM data, and we deliver a first use case in 3 to 8 weeks.
How do I find an AI consultant for a UK manufacturing business?
Start with the problem, not the technology: forecast error, scrap, unplanned downtime or manual planning. Then ask each consultant three things: have they shipped a system like this into production, who will write the code, and will they fix the scope and price before the build. Ask to see a case study with real figures.
What are the best first AI projects for a manufacturer?
Demand forecasting and inventory optimisation usually pay back fastest, because they cut stockouts and free working capital. Visual quality inspection, predictive maintenance and production scheduling come next. Automating quotes, RFQs and reporting is a quick win for smaller manufacturers because it removes hours of manual work every week.
Do we need perfect data before starting an AI project?
No. Most manufacturers have useful data spread across ERP, MES, spreadsheets and machine logs. The first part of every project is joining and cleaning the data needed for one use case. We do that work ourselves rather than asking you to fix your data first.
How long does a manufacturing AI project take?
A focused first use case typically reaches production in 3 to 8 weeks: one to two weeks to agree scope and access data, then short build cycles with weekly demos. Larger programmes, such as plant-wide data platforms, are delivered in phases so value arrives early.
Can you work with SAP, Siemens and other plant systems?
Yes. We integrate with ERP, MES, SCADA historians and supply chain systems through their APIs or data exports, and we can deploy in your cloud, private cloud or on-premises if data must stay on site.
Do you have a UK office?
No. Our senior engineers are based in Ahmedabad, India, and work with UK manufacturers remotely through video calls, weekly demos and shared code, overlapping with the UK morning and early afternoon. Data handling follows UK GDPR and the Data Protection Act 2018.
How much does AI consulting for manufacturing cost?
It depends on scope. A forecasting model or quote automation costs far less than a plant-wide platform. Our AI development cost and pricing pages set out typical ranges, and every engagement has a fixed scope and price agreed before the build begins.
Have a plant problem AI could fix?
Book a free 30-minute call. We will tell you plainly whether AI is worth it, and where to start.