--- title: "AI Consultants for UK Manufacturing | Manufacturing AI | Agility" url: https://agilitytech.ai/ai-consulting-manufacturing-uk description: "AI consulting for UK manufacturers: demand forecasting, quality inspection, maintenance and scheduling on your ERP and MES data. Production AI in 3 to 8 weeks." publisher: Agility (agilitytech.ai) --- UK manufacturing # 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. [Talk to a manufacturing AI consultant](https://agilitytech.ai/contact)[See the case study](https://agilitytech.ai/case-studies/manufacturing-ai) Demand-forecast accuracy in production88% Typical time to production3 to 8 wks AI deployments200+ Or your cloud, your choiceOn site The short answer ## What does an AI consultant for manufacturing do? An AI consultant for manufacturing finds the plant or planning problem where AI will pay back first, then builds and deploys the system: demand forecasts, visual quality checks, maintenance alerts, scheduling support or quote automation, running on the ERP, MES and machine data you already have. Agility works remotely with UK manufacturers and ships a first use case in 3 to 8 weeks. Part of our [AI consulting work across the UK](https://agilitytech.ai/ai-consulting-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 operations2% Use AI in production, 7% in supply chain, 6% in quality control11% Say skills shortages stop them moving beyond trials50%+ 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 [Manufacturing AI case study](https://agilitytech.ai/case-studies/manufacturing-ai) ### 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 [Computer vision](https://agilitytech.ai/computer-vision-development) ### 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 [Supply chain AI consulting](https://agilitytech.ai/supply-chain-ai-consulting) 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](https://agilitytech.ai/ai-development-cost) and [supply chain AI consulting](https://agilitytech.ai/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](https://agilitytech.ai/case-studies/manufacturing-ai) Prediction accuracy in production88% Related ## More on AI for industry [Supply chain AI consulting](https://agilitytech.ai/supply-chain-ai-consulting)[Applications of AI in FMCG](https://agilitytech.ai/fmcg-ai)[AI consulting Birmingham](https://agilitytech.ai/ai-consulting-birmingham)[AI consultancy Devon](https://agilitytech.ai/ai-consulting-devon) FAQ ## AI consulting for UK manufacturing: common questions [Ask us something else](https://agilitytech.ai/contact) **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. [Book a free consultation](https://agilitytech.ai/contact)[See the case study](https://agilitytech.ai/case-studies/manufacturing-ai)