Biotech companies that keep AI access siloed to a handful of data scientists are already falling behind the ones that don’t.

Slow internal research was costing Genmab real time

Researchers and business staff at Genmab were spending hours on tasks that should take minutes: drafting regulatory summaries, synthesizing internal reports, preparing briefings across functions. The bottleneck wasn’t capability, it was access.

An entire company now runs on the same AI layer

Genmab launches “AI Everywhere” is Genmab’s company-wide deployment of ChatGPT Enterprise, giving every employee a governed, privacy-compliant workspace where they open a prompt, describe their task, and receive outputs that never train OpenAI’s external models. Input is natural language across any business function. Output is everything from drafted documents to synthesized research, all inside a single secure environment.

Biotech ops teams feel this first

• Regulatory affairs specialists who spend days reformatting submission documents into required structures
• Medical affairs writers who need fast, compliant first drafts without exposing proprietary compound data
• Finance and HR teams who lose hours each week answering internal policy questions that a trained AI could resolve in seconds

The common thread is not job title. It is anyone whose output is a document and whose bottleneck is time.

Enterprise AI in biotech just crossed a credibility threshold

OpenAI’s Enterprise tier now counts pharmaceutical and biotech clients among its fastest-growing segments, a sector that was historically the most resistant to third-party AI tools due to IP and compliance concerns. If a company managing sensitive antibody research trusts this infrastructure, the remaining objections in regulated industries just got harder to defend.

What teams are using it for day one

• Draft internal briefing documents from raw research notes
• Summarize long regulatory guidance into decision-ready takeaways
• Generate first drafts of cross-functional communications at scale
• Answer HR and policy questions without routing through human intermediaries

Pricing for ChatGPT Enterprise is not public and varies by contract size. Pricing not listed, check our directory.

The tradeoff is real: Enterprise deployments of this scale require IT procurement cycles that smaller teams or independent researchers simply cannot move through quickly.

For teams not ready for a full Enterprise contract, ChatGPT Team offers a lighter governed environment at a flat per-seat rate. Microsoft Copilot is the other serious option for organizations already inside the Microsoft 365 stack.

Regulated industries are running out of reasons to wait on AI

Genmab’s rollout is a signal worth tracking, not because it’s unusual, but because it won’t be for long. We cover tools like this every Friday — subscribe here and we’ll send the best ones straight to you.