What challenges did Novo Nordisk face before AI implementation?

Novo Nordisk needed to enable rapid innovation with generative AI safely and compliantly across its value chain beyond regulated processes. Employees had ideas but lacked infrastructure and development support to create generative AI applications. There was difficulty in predicting which use cases would be valuable and gain traction, affecting resource allocation.

What was the impact of the AI solution?

Over 25,000 employees created chatbots for more than 2,500 unique use cases, significantly boosting productivity and workflow standardization. The innovation cycle time was reduced from several months to days or even hours for proof of concept. The average operating cost per chatbot was about $10 per month, maintaining cost efficiency at scale. The platform fosters democratized innovation and improved work quality, helping employees focus on impactful tasks.

Source

Novo Nordisk Scales to 2,500+ Use Cases with Secure Generative AI Using Amazon Bedrock

Use case typeAI platformUpdated Jun 13, 2026

Novo Nordisk, a multinational pharmaceutical company based in Denmark, wanted to democratize employee innovation by enabling secure and compliant use of generative AI in nonregulated processes. They developed a self-service generative AI platform on AWS using Amazon Bedrock, DynamoDB, and AWS Lambda, enabling employees to build, customize, and share chatbots. The solution reduced innovation cycle time from months to days and lowered operational costs, resulting in over 25,000 employees creating chatbots for more than 2,500 use cases across various workflows.

Organization: Novo Nordisk
Industry: Pharma
Location: Denmark
Published: April 2026

Reported outcomes

Strategic outcomes

New product / capabilityBuilt a self-service generative AI platformInnovation & cultureDemocratized employee innovationSpeed & agilityReduced innovation cycle timeScale & capacityEnabled thousands of chatbot use cases

Primary read

Use case focus

Showing 2 of 2

1Generative AI Platform
2Employee Productivity Enhancement

Novo Nordisk needed to enable rapid innovation with generative AI safely and compliantly across its value chain beyond regulated processes.
Employees had ideas but lacked infrastructure and development support to create generative AI applications.
There was difficulty in predicting which use cases would be valuable and gain traction, affecting resource allocation.

The company built a secure, scalable self-service generative AI platform on AWS leveraging Amazon Bedrock foundation models.
They used serverless AWS services such as DynamoDB and AWS Lambda to manage chatbot operations with low base costs and high scalability.
The platform allowed quick creation and deployment of chatbots, supporting diverse use cases like document drafting assistance and information retrieval.
Validation and architectural design were performed with EY as an implementation partner to ensure security and compliance.

Technologies

Amazon Bedrock DynamoDB AWS Lambda

Over 25,000 employees created chatbots for more than 2,500 unique use cases, significantly boosting productivity and workflow standardization.
The innovation cycle time was reduced from several months to days or even hours for proof of concept.
The average operating cost per chatbot was about $10 per month, maintaining cost efficiency at scale.
The platform fosters democratized innovation and improved work quality, helping employees focus on impactful tasks.

Architecture

The solution is a secure, scalable generative AI self-service platform on AWS using Amazon Bedrock foundation models, AWS Lambda for serverless compute, and DynamoDB for managed database. EY was a partner for architectural validation.

Implementation partners1

Sources & evidence1

Groundedness: 4/5

Primary source

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Customer evidence