Novo Nordisk Scales to 2,500+ Use Cases with Secure Generative AI Using Amazon Bedrock
Novo Nordisk· DenmarkAmazon Bedrock · AWS Lambda · Amazon DynamoDBNovo Nordisk built a self-service generative AI platform on AWS, using Amazon Bedrock's foundation models, so employees could build and customize chatbots for nonregulated business use cases without needing to develop applications or maintain infrastructure themselves. The company worked with AWS Partner Cloud2 Oy (previously KeyCore) to validate the architecture for security and scalability. More than 25,000 Novo Nordisk employees have used the platform to create chatbots for over 2,500 unique use cases, such as retrieving information, drafting documents, or acting as a virtual colleague or critic. The company's general-purpose chatbot is used by more than 1,000 employees and processes over 26,000 prompts a month; its largest use case was trained on 140,000 documents. Each use case costs around $10 per month to run on AWS, using serverless services including Amazon DynamoDB and AWS Lambda. Building a chatbot now takes days rather than months, and some tasks that took a full day can be completed in as little as 10 minutes.
Overview
Novo Nordisk built a self-service generative AI platform on AWS, using Amazon Bedrock's foundation models, so employees could build and customize chatbots for nonregulated business use cases without needing to develop applications or maintain infrastructure themselves. The company worked with AWS Partner Cloud2 Oy (previously KeyCore) to validate the architecture for security and scalability. More than 25,000 Novo Nordisk employees have used the platform to create chatbots for over 2,500 unique use cases, such as retrieving information, drafting documents, or acting as a virtual colleague or critic. The company's general-purpose chatbot is used by more than 1,000 employees and processes over 26,000 prompts a month; its largest use case was trained on 140,000 documents. Each use case costs around $10 per month to run on AWS, using serverless services including Amazon DynamoDB and AWS Lambda. Building a chatbot now takes days rather than months, and some tasks that took a full day can be completed in as little as 10 minutes.
The challenge
Novo Nordisk employees had great ideas for solving business problems using generative AI, but they were limited by the fact that they couldn't develop applications or maintain the infrastructure to support them; the company also found it difficult to accurately predict which use cases would take off and which would be less valuable.
The solution
Novo Nordisk built a self-service platform on AWS, using foundation models in Amazon Bedrock, so employees could build and customize chatbots for specific use cases in nonregulated processes without developing applications or maintaining infrastructure themselves. AWS Partner Cloud2 Oy (previously KeyCore) validated the architectural designs for security and scalability. The platform runs on serverless AWS services including Amazon DynamoDB and AWS Lambda to keep costs minimal.
Reported business value
More than 25,000 Novo Nordisk employees have used the platform to create chatbots for over 2,500 unique use cases, such as retrieving information, drafting documents, or acting as a virtual colleague or critic. The company's general-purpose chatbot is used by more than 1,000 employees and processes over 26,000 prompts a month; its largest use case was trained on 140,000 documents. Each use case costs around $10 per month to run on AWS. Building a chatbot now takes days rather than months, and some tasks that took a full day can be completed in as little as 10 minutes.
Sources
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This record was researched and written with AI assistance, and its claims were checked against the sources above. (EU AI Act art. 50 transparency notice.)
Other pharmaceuticals entries in the register.
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Novo Nordisk Scales to 2,500+ Generative AI Use Cases with Amazon Bedrock
Danish pharmaceutical company Novo Nordisk built a self-service generative AI platform on Amazon Bedrock that lets employees build and customize chatbots for nonregulated business processes. More than 25,000 employees have used the platform to create chatbots for over 2,500 use cases, cutting the time to build a chatbot from months to days, at an average cost of about $10 per use case per month.
Using Amazon Bedrock Agents to Accelerate Decisions Across Drug Development at AstraZeneca
AstraZeneca built Development Assistant, a multi-agent AI tool using Amazon Bedrock Agents, that lets clinical, regulatory, safety and quality teams ask natural language questions and get insights from structured and unstructured data in seconds via text-to-SQL generation and retrieval-augmented generation. A supervisor agent routes queries to specialized subagents (terminology, clinical, regulatory, database). Built on AstraZeneca's Drug Development Data Platform (3DP), the tool moved from concept to production in 6 months, including cybersecurity and AI governance checks, and is scaling to over 1,000 users.
AstraZenecaAmazon Bedrock Agents · Amazon Bedrock · Text-to-SQLWas this helpful?
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