Tech gaps slowed innovation cycles to months. A self-service platform now lets 25,000 employees build AI prototypes in just one hour.
A century-old Danish pharmaceutical company specializing in chronic disease therapies for diabetes, obesity, and rare blood disorders, with a global workforce that began experimenting with large language models in 2023.
Employees across departments had concrete ideas for applying generative AI to their workflows, but were blocked by the need for developer resources...
“We want to make it possible for our colleagues to use this technology safely, securely, and in a compliant manner to improve processes to bring more value to our patients. We want our teams to be accustomed to and prepared to use this technology as it starts arriving everywhere.”
Pharmaceutical company specializing in diabetes, obesity, and rare blood disorders.
Validated Novo Nordisk's architectural designs for its generative AI solution for security and scalability.
Cloud computing platform and on-demand infrastructure services.
Novo Nordisk's Chatbot builder is part of this use case:
Related implementations across industries and use cases
Manual coaching bottlenecked reps. An AI bot now simulates doctor visits in 14 scenarios, saving 7,000 hours annually.
Target assessments took a full quarter. Now, AI agents synthesize 1,000+ datasets to finish in hours.
Writers averaged 2.3 reports/year. Teams now generate 300-page regulatory drafts in minutes, cutting writing time by 90%.
Manual analysis limited teams to three scenarios. Now, 1,000+ AI agents run 100,000+ real-time simulations to automate decisions.
Teams kept rebuilding agents others had already built—no shared standard, no way to find them. A mesh gave every agent a discoverable home.
Every update meant re-recording across five teams. Now a script upload produces multilingual medical video without a single studio session.
Paper recipes took months to digitize; each new regulation meant combing the library for impact. AI agents do both now—engineers review.
Energy market research that took weeks now closes same-day. Staff freed from chasing information to make the calls that matter.
With 99% of records missing metadata, teams sifted unlabeled databases. Now, AI generates column descriptions for data experts to verify.
Tech gaps slowed innovation cycles to months. A self-service platform now lets 25,000 employees build AI prototypes in just one hour.
A century-old Danish pharmaceutical company specializing in chronic disease therapies for diabetes, obesity, and rare blood disorders, with a global workforce that began experimenting with large language models in 2023.
Employees across departments had concrete ideas for applying generative AI to their workflows, but were blocked by the need for developer resources...
“We want to make it possible for our colleagues to use this technology safely, securely, and in a compliant manner to improve processes to bring more value to our patients. We want our teams to be accustomed to and prepared to use this technology as it starts arriving everywhere.”
Pharmaceutical company specializing in diabetes, obesity, and rare blood disorders.
Validated Novo Nordisk's architectural designs for its generative AI solution for security and scalability.
Cloud computing platform and on-demand infrastructure services.
Novo Nordisk's Chatbot builder is part of this use case:
Related implementations across industries and use cases
Manual coaching bottlenecked reps. An AI bot now simulates doctor visits in 14 scenarios, saving 7,000 hours annually.
Target assessments took a full quarter. Now, AI agents synthesize 1,000+ datasets to finish in hours.
Writers averaged 2.3 reports/year. Teams now generate 300-page regulatory drafts in minutes, cutting writing time by 90%.
Manual analysis limited teams to three scenarios. Now, 1,000+ AI agents run 100,000+ real-time simulations to automate decisions.
Teams kept rebuilding agents others had already built—no shared standard, no way to find them. A mesh gave every agent a discoverable home.
Every update meant re-recording across five teams. Now a script upload produces multilingual medical video without a single studio session.
Paper recipes took months to digitize; each new regulation meant combing the library for impact. AI agents do both now—engineers review.
Energy market research that took weeks now closes same-day. Staff freed from chasing information to make the calls that matter.
With 99% of records missing metadata, teams sifted unlabeled databases. Now, AI generates column descriptions for data experts to verify.