How does a pharmaceutical plant move from a successful AI pilot to fully digital, real-time operations, without rebuilding from scratch?
Last year, Recordati Cork presented how an initial AI deployment on fragmented production data delivered a 1.5% yield improvement and 2% COGS reduction in 90 days. But it also exposed a structural problem: manually digitising paper batch records to feed the models was not scalable and prevented real-time decision-making.
Rather than building from scratch, Recordati decided to leverage the existing foundation. The same sensor integrations used for retrospective analysis became the foundation for real-time execution and a paperless shop floor.
Attendees will learn how Recordati:
Proved AI value on siloed, fragmented data, identifying that drying time and batch type drove the majority of LOD in one product.
Reused their existing data foundation to bridge retrospective analysis and real-time execution, with no infrastructure rebuild required
Digitised 11 MBRs into guided workflows, connecting real-time sensor monitoring, SAP picking lists, and operator instructions as one unified execution layer
Closed the loop with real-time shop floor visibility and immediate root cause analytics
Reduced operator-induced variability by redesigning ways of working, carefully handling change management, and empowering the team at every level
Take-home message: A successful AI pilot is the starting point, not the destination. The data foundation you already built is probably capable of far more than you are currently using it for.
