What infrastructure challenges are organisations facing as they scale AI?
IGNASI: Right now, AI is helping manufacturers prioritise and focus their energy on what matters most. A manufacturing supply chain generates an enormous amount of data, and employees spend a significant part of their day manually sorting through alerts and signals to determine what actually needs their attention. AI is very good at cutting through that noise to surface the issues that need a decision and filtering out the ones that don’ t.
We’ re also seeing strong results in document-heavy processes. Manufacturers deal with a constant flow of supplier communications, quality records, engineering change notices, compliance documents and more. AI can extract relevant information from those documents and insert it into the workflow where it’ s needed, rather than leaving it buried in an inbox or a shared drive.
The pattern in every successful deployment we’ ve seen is the same: humans are still in the loop. It’ s making the people running it faster and better informed. The moment you manufacturers try to automate judgment calls without the data foundation to back it up, they’ re in trouble.
114 June 2026