UK-developed agentic AI platform could ‘revolutionise’ productivity
23 July 2026 
A UK industrial AI company has launched an end-to-end industrial intelligence platform which, it predicts, will transform industry by driving massive productivity gains without requiring major capital investments. Yorkshire-headquartered IntelliAM says that unlike traditional industrial AI that merely monitors equipment or predicts failures, its industrial intelligence platform – developed with SKF – uses agentic AI to understand production-line performance in context.
The platform goes beyond dashboards and alerts to recommend or trigger direct operational actions, shifting manufacturers from collecting data passively to active, intelligent decision-making.
SKF has combined IntelliAM’s platform with its lubrication and engineering expertise with the aim of moving from fixed maintenance schedules towards more intelligent, data-led decisions – making the right intervention, at the right time, based on actual machine and operating conditions.
IntelliAM says that it is already working with half of the world’s top 12 food and drink manufacturers. It has developed its platform using data from trials with brands including Hovis and Müller Milk & Ingredients, where, it claims, its technology is already delivering substantial reliability gains, including a 215% improvement in the MTBF (mean-time-between-failures) in a 12-month period at one site.
Müller reports that the technology has helped it move from reactive maintenance to proactive control, improving the visibility of developing faults, and reducing its reliance on manual diagnostics, helping it to spot problems – such as damaged bearings – before they become failures. “We didn’t know how to identify these bearing failures until IntelliAM came along,” says the company’s group operations manager, Matt Wilson. “Now, we’ve not had a single failure that we don’t know about.”
In the next phase of the project, Müller is using data from its production lines, machine settings, alarms and process parameters to reduce diagnostic times and improve day-to-day performance. Information that once took its engineers hours to find, can increasingly be accessed and interpreted in seconds, the company reports. “The time we spend looking through drawings and manuals can take hours when the line is down,” says Wilson. “In this instance, it can be at the click of a button.”
IntelliAM has recently announced an expansion of an existing partnership with Mars to cover six of its UK sites – the latest being a Wrigley plant. The Mars orders are worth around £425,000, of which almost half is annually recurring revenue.
IntelliAM is targeting the food and beverage sector, in particular, and points out that in the UK food and drink sector – which contributes £37.3bn GVA to the economy – a 2% productivity uplift would inject £746m of additional annual economic value, while a 5% boost would deliver £1.865bn.
The IntelliAM platform consists of:
- IntelliAM 53, which provides machine and asset intelligence
- Decipher, which gives operational understanding and performance insights; and
- Enigma, a decision support tool that uses agentic AI to understand production-line performance in context. It goes beyond dashboards and alerts to recommend or trigger direct operational actions, shifting manufacturers from passive data collection to active, intelligent decision-making.
The platform also tackles the problem of labour shortages. With vacancy rates in food and drink manufacturing remaining well above the national average, the platform optimises existing human resources, rather than trying to replace them. It captures their manufacturing expertise, guiding shopfloor teams to faster, more consistent decisions. IntelliAM says that the platform acts as a “force multiplier” for current staff, allowing limited engineering expertise to stretch much further.
“Britain’s future productivity gains will come less from building new factories and more from improving the performance of the assets we already have,” says IntelliAM CEO, Tom Clayton. “Manufacturers do not have a data problem; they have a decision problem. The opportunity now is to use agentic AI to turn trusted industrial data into better operational performance.”
“Agentic AI represents the next stage in industrial transformation,” he adds. “With the industrial intelligence platform, we have cracked the code of industrial performance. This is how people and machines will be managed. This technology is about helping scarce expertise goes further.”
IntelliAM: LinkedIn
