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Teams can automate structured, multi-step compliance workflows like vendor due diligence directly inside ChatGPT, with full run-trace visibility and no engineering overhead.
Life sciences teams can use GPT-Rosalind in Codex to automate multi-lane evidence synthesis across genetics, biology, and regulatory data — replacing manual literature triage with a structured, repeatable agentic workflow for target prioritization.
Researchers and developers building on OpenAI's platform should watch for the life sciences model series and its plugin ecosystem, which could significantly accelerate biology and drug discovery workflows through agentic, reproducible automation.