Rising operational complexity and higher volumes are transforming internal flows into a lever for continuity, labor sustainability and reduced congestion within plants. SKU proliferation, omnichannel strategies, flexible production schedules and multi-shift operations are increasing pressure on material movements. Disruptions in these flows can slow production, increase Work-in-Progress (WIP) and create bottlenecks in critical areas.
A common perception is that AI adoption requires specialized data scientists or massive upfront infrastructure investments. In reality, the true value of modern AI lies in its ability to solve common, costly operational challenges that affect nearly every organization. AI can analyze vast amounts of data far faster than human teams, delivering predictive insights that optimize supply chains, streamline administrative work and improve decision-making across departments.
At Sanofi, AI has shifted from experimentation to becoming a vital part of our infrastructure. It now powers our R&D decisions, our supply chain and manufacturing processes, and most importantly how we discover and develop medicines. All businesses that have implemented AI in an impactful way face challenges, such as skills gaps and uncertainty, but you move beyond that by embedding AI deeply into teams and systems. This enables AI to become a key, reliable source of sustained productivity and innovation.
It's no secret that artificial intelligence (AI) has already had a significant impact on businesses -introducing new levels of automation and challenges for leaders to overcome. Until now, it's been largely confined to screens and data centers, but we are witnessing this technology advance beyond the digital world right before our eyes. In manufacturing, sensors and AI-driven analytics allow factories to anticipate maintenance before breakdowns occur, and in healthcare, smart diagnostic systems accelerate detection and personalize treatment.
"So you speak to it in a natural language, there is no pre-programmed way to talk to it... it can break it down and execute on the task - just like any employee."