Competing with giants 10x their size demanded agility. Now, over 50% of staff use internal GenAI daily to code and summarize documents.
France's leading privately owned pharmaceutical and cosmetics laboratory, operating in more than 40 countries with 10,200 employees and generating over 70 percent of its revenue internationally.
Competing in a global market against industry giants 10 to 15 times its size required unprecedented agility and innovation. The organization needed...
“For Pierre Fabre, AI is fundamentally strategic. We compete with companies 10 to 15 times our size. Artificial intelligence is a game changer. It can transform our processes, accelerate time-to-market for our drugs, and boost our overall efficiency.”
Global pharmaceutical and dermo-cosmetic laboratory for medical and skin health.
Enterprise software, cloud infrastructure, and consumer electronics platform.
Related implementations across industries and use cases
Manual medical drafting and code translation bottlenecked clinical experts. Now, secure AI generates first drafts for human review.
Scientists spent half a day digging through 50 years of scattered files. Now, an AI assistant retrieves past experiments in minutes.
Tech gaps slowed innovation cycles to months. A self-service platform now lets 25,000 employees build AI prototypes in just one hour.
Customer inquiries took eight hours; reports consumed weeks. AI copilots now empower staff to double resolutions and draft reports in days.
"Shadow AI" posed security risks. BBVA moved 11,000 staff to a governed platform where they built 20,000 custom workflow assistants.
Scattered data slowed prep for 15-minute visits. AI now fuses insights into instant briefs, saving reps one full day of admin weekly.
Manual Excel models bottlenecked the network. Now, AI optimizes inventory while bots provide 24/7 service.
Silos forced a 71-day wait for data. By unifying sources, 4,000 staff now access insights in hours and build models 50% faster.
Disparate tools slowed 320,000 employees. Unifying on Teams and Copilot connected the workforce and embedded AI into daily habits.
Competing with giants 10x their size demanded agility. Now, over 50% of staff use internal GenAI daily to code and summarize documents.
France's leading privately owned pharmaceutical and cosmetics laboratory, operating in more than 40 countries with 10,200 employees and generating over 70 percent of its revenue internationally.
Competing in a global market against industry giants 10 to 15 times its size required unprecedented agility and innovation. The organization needed...
“For Pierre Fabre, AI is fundamentally strategic. We compete with companies 10 to 15 times our size. Artificial intelligence is a game changer. It can transform our processes, accelerate time-to-market for our drugs, and boost our overall efficiency.”
Global pharmaceutical and dermo-cosmetic laboratory for medical and skin health.
Enterprise software, cloud infrastructure, and consumer electronics platform.
Related implementations across industries and use cases
Manual medical drafting and code translation bottlenecked clinical experts. Now, secure AI generates first drafts for human review.
Scientists spent half a day digging through 50 years of scattered files. Now, an AI assistant retrieves past experiments in minutes.
Tech gaps slowed innovation cycles to months. A self-service platform now lets 25,000 employees build AI prototypes in just one hour.
Customer inquiries took eight hours; reports consumed weeks. AI copilots now empower staff to double resolutions and draft reports in days.
"Shadow AI" posed security risks. BBVA moved 11,000 staff to a governed platform where they built 20,000 custom workflow assistants.
Scattered data slowed prep for 15-minute visits. AI now fuses insights into instant briefs, saving reps one full day of admin weekly.
Manual Excel models bottlenecked the network. Now, AI optimizes inventory while bots provide 24/7 service.
Silos forced a 71-day wait for data. By unifying sources, 4,000 staff now access insights in hours and build models 50% faster.
Disparate tools slowed 320,000 employees. Unifying on Teams and Copilot connected the workforce and embedded AI into daily habits.