Trial coordinator briefs, site updates, and routine investigator inquiries.
Compiles trial site status, enrollment numbers, and protocol-deviation summaries for coordinator calls — and handles routine inquiries from investigators and study staff.
Site status briefs ready for the Mon coordinator call:
How does OpenAI (ChatGPT) work for pharmaceuticals teams?
OpenAI (ChatGPT) works for pharmaceuticals teams as the engine behind an Arahi AI agent built around the workflows that actually consume your week. The agent reads context from OpenAI (ChatGPT) and the other systems your pharmaceuticals operation depends on, runs the routine work in the background, and surfaces only the cases that need a human decision. Automate repetitive tasks and free up your pharmaceuticals team to focus on high-value strategic work. Teams typically see faster medical-legal-regulatory turnaround once the agent is in production. Setup is no-code, every action is auditable, and the agent is scoped to the rules your pharmaceuticals team defines — not a generic template applied to your business.
Built in plain English.
You write the rule the way you'd describe it to a teammate. The agent reads the rule, breaks it into the actions it'll take, and confirms the apps it'll touch — before it does anything.
- 1Read the trigger event and pull the contact's context
- 2Draft the message in your team's voice
- 3Cite each personalized line's source
- 4Queue for your review or auto-send by confidence
Get started in three steps
Connect OpenAI (ChatGPT)
Authorize OpenAI (ChatGPT) in your Arahi AI dashboard. The secure connection takes less than 60 seconds.
Configure Your AI Agent
Set up triggers, actions, and conditions specific to how your team uses OpenAI (ChatGPT). For pharmaceuticals teams, this typically means routing workflows from tools like Veeva alongside OpenAI (ChatGPT).
Deploy & Monitor Results
Your AI agent goes live immediately. Track tasks automated, time saved, and accuracy metrics in real-time.
Trial-1421 · Mar 10 site brief · 12 sites summarized
Quick brief ahead of Mon's coordinator call:
Personalized using LinkedIn activity from the last 30 days.
Approve before it sends.
Every draft lands in a review queue. You approve, edit, or reject — the agent never acts on its own unless you explicitly turn that on for a workflow you trust.
Every action, with the reasoning attached.
Each step the agent takes is logged with what it did, why it did it, and which app it touched. Audit-ready, so security and compliance can sign off without backfilling.
- Marco11:42 AM
Approved the draft to coord-team@trial-1421.org.
- Agent11:41 AM
Drafted the email and queued it for review.
Reason: High-confidence personalization but recipient is C-level — escalating per policy.
- Agent11:40 AM
Pulled LinkedIn activity and HubSpot deal context.
- Agent11:40 AM
Triggered: For every clinical-trial coordinator request, have @ChatGPT compile site status,
- Agent11:38 AM
Confirmed sender domain DKIM is healthy.
Frequently asked questions
Both. Clinical ops gets trial coordination and site comms. Medical affairs gets KOL outreach support and routine investigator inquiry handling. Different deployments per use case.
Veeva Vault, Medidata, Oracle Argus, Florence eBinders, and most major eClinical platforms. CRM via Veeva CRM or Salesforce Health Cloud.
Regulated communications (FDA submissions, IRB filings) stay with your regulatory team. The agent prepares supporting data and drafts but does not auto-submit.
Compliant with GxP requirements. PHI never crosses jurisdiction boundaries the protocol prohibits. Audit logs are immutable.
It triages inquiries, surfaces relevant published data, and drafts initial responses. Substantive responses to HCPs run through Medical Affairs review.
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