AI agents for pharma: drafts, sorting, audit trails

Where an agent fits in a regulated company

A pharmaceutical company is a set of review loops: medical, legal, regulatory, quality. Work moves slowly because it has to, not because people are idle. An agent does not shorten the review. It shortens the time before review starts, by assembling drafts, finding sources and routing items to the right person.

We work mainly with smaller companies: specialty and generic manufacturers, contract research and distribution groups, and the commercial or medical affairs teams within larger ones. Your quality system and your regulator decide what is acceptable, so we start by reading your SOPs, not by proposing tools. The first two weeks are usually reading and interviews. Staff who do the work today tell us where time goes, and we note which steps have a regulatory reason and which are habit.

Candidate tasks, with the control for each

Adverse event handling deserves a note. Time limits for reporting are set by regulators, so the agent is built to forward quickly and over-flag rather than judge.

What we will not build

• Agents that write promotional claims, comparisons or patient-facing medical advice.
• Agents that decide whether an event is reportable or a batch is acceptable.
• Anything that edits a controlled document without version control and approval.
• Tools that talk to patients as if they were a clinician.

Promotion of medicines is tightly controlled in most countries. Check with your regulatory counsel and your medical, legal and regulatory review process before any text produced by an agent is used outside the company.

Validation, records and data

If an agent touches records inside a GxP environment, your quality team will ask how it is validated. We cannot validate your system for you, but we supply what they need: a description of what the agent does, the prompts and rules, test cases with results, change history and access logs. Any model update goes through the same change control as other software.

Where patient or trial data is involved, privacy law applies: HIPAA in some US contexts, GDPR in the UK and Europe. Check with your data protection officer, and see the ICO link in our sources for UK guidance. Our AI agent security checklist covers the access and logging controls we set up.

How a project runs

1. Read the SOPsWe learn your review path before touching a tool.
2. Pick a contained taskRequest sorting or status tracking, not anything near a claim.
3. Build with an audit trailEvery input, output and approver is recorded.
4. Quality reviewYour QA team tests it and signs off before staff use it.

The work is remote from Pune, with calls scheduled in your working hours. Voice-side options for distributor and customer lines are on our page on voice agents for pharmaceutical companies.

Price

Projects start at $1,500 and our rate is $30 an hour. A routing and drafting agent for one team is near the minimum. Validation documents, ERP integration and extra review steps add hours. See the AI agent cost guide. A fixed quote follows a short call, and the core service sits on the AI agent development page.