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Genmab launches “AI Everywhere”
For AI workflow builders, Genmab's approach demonstrates how to deploy LLMs in a compliance-heavy environment, offering a blueprint for integrating AI into secure, enterprise-grade workflows.
What happened
Genmab, a biotechnology company, has announced an initiative called 'AI Everywhere' to integrate artificial intelligence across its operations. According to the OpenAI Blog, Genmab is adopting ChatGPT Enterprise as a core tool, leveraging OpenAI's security and privacy features to ensure compliance in the regulated pharmaceutical industry. The program aims to streamline drug discovery, clinical trials, and business processes by providing employees with AI-powered assistance for tasks such as data analysis, documentation, and collaboration. This move reflects a broader trend of life sciences companies embracing generative AI to accelerate research while maintaining strict data governance. For developers and workflow builders, this case illustrates how enterprise-grade AI deployments require balancing innovation with compliance, and how platforms like ChatGPT Enterprise can serve as a foundation for custom automation pipelines. Genmab plans to roll out the AI tools gradually, with a focus on training employees and measuring productivity gains. The announcement underscores the growing adoption of large language models in highly regulated sectors, where trust and security are paramount.
Key takeaways
- Genmab announced 'AI Everywhere', an initiative to embed AI across its drug development and business operations.
- The company is using ChatGPT Enterprise, citing OpenAI's security and privacy commitments as key factors.
- AI tools will assist with data analysis, document generation, and collaboration in drug discovery and clinical trials.
- Genmab emphasizes a phased rollout with employee training and productivity metrics.
- This represents a significant adoption of generative AI in the regulated biotech industry.
Why it matters
For AI workflow builders, Genmab's approach demonstrates how to deploy LLMs in a compliance-heavy environment, offering a blueprint for integrating AI into secure, enterprise-grade workflows.
This is an original editorial digest by AI Workflow Pro. Full reporting at the source:
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