The manufacturing industry has long been defined by technological advancement. From the mechanisation of labour to the automation of production lines, staying ahead has required continuous innovation. But while the sector has historically focused on physical upgrades, a quieter revolution is taking place in the administrative backbone of manufacturing, one that could determine which businesses remain competitive in an increasingly volatile global market.
As manufacturers grapple with supply chain disruptions, rising costs, and the pressure to streamline design-to-make processes, AI-driven productivity tools are emerging as a key differentiator. The integration of artificial intelligence into business operations is no longer a futuristic vision, it is an immediate necessity.
“2024 has marked a change in manufacturing administration when it comes to employing AI tools,” says Brian Sibley, Virtual CTO at Espria. “Microsoft Copilot and similar AI-driven platforms are giving businesses the data analytics and task automation tools they need to remain competitive in a pressurised market.”
Manufacturers are increasingly turning to AI to enhance supply chain visibility, optimise production schedules, and support real-time decision-making. The NexSys State of UK Manufacturing report highlights that six in ten manufacturers are actively reviewing their processes in response to ongoing supply chain challenges. Just over half are investing in new technology to mitigate these disruptions, yet nearly half of respondents indicated that sourcing materials remains a major challenge.
Supply chains depend on real-time insights, and the ability to forecast supply and demand with precision is crucial for maintaining smooth operations. AI tools such as Microsoft Copilot integrate machine learning models with existing data infrastructure, allowing manufacturers to predict and prevent potential disruptions before they impact production. Beyond forecasting, AI is increasingly supporting preventative maintenance and adjustments, reducing downtime and improving overall efficiency.
“While Copilot isn’t a one-to-one solution for streamlining supply chain management, it provides a much-needed boost to existing operations,” says Sibley. “A powerful orchestration engine, using large language models and internal business data, can offer the analysis and insights manufacturers need to make informed, strategic decisions.”
Manufacturing leaders have traditionally prioritised investments in production line improvements, but the same focus is now needed in the administrative and executive functions of their businesses. AI tools are helping to unify data entry, processing, and analysis, reducing the burden of manual administrative tasks and enhancing collaboration across teams. The ability to rapidly access, process, and act on business data is proving just as critical as upgrading machinery on the factory floor.
Sibley argues that failing to modernise administrative processes will be a liability for manufacturers looking to compete in 2025 and beyond. “Legacy technology will stunt and stagnate your production wherever it lies. Ensuring that you have the best tools to support your operations will be key for manufacturing businesses moving forward.”
With AI now embedded in every aspect of operations, from the production floor to the boardroom, manufacturers that embrace these tools stand to gain a significant advantage. As digital transformation reshapes industries at an unprecedented pace, the question is no longer whether AI should be integrated into manufacturing operations, but how quickly businesses can adapt to the new reality.
