Pegasus Agentic OS
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AI Transformation · Pharma and life sciences

Enterprise AI for regulatory, safety and quality work.

For pharma, biotech, medtech and diagnostics companies: agents that draft regulatory documents, take in adverse event reports and answer medical information queries, alongside AI for quality, clinical operations and commercial teams, with validation and sign-off on every regulated output.

Where AI helps first

  1. RegulatorySubmission documents drafted
  2. SafetyAdverse events taken in
  3. MedicalAnswers from approved content
  4. QualityDeviations and CAPAs tracked
  5. TrialsTrial documents checked
  6. TendersTenders and key accounts

Every agent action approved by a named person

Written for

Heads of regulatory affairs, Heads of pharmacovigilance and medical affairs and Heads of quality and compliance

The question you came with

Why do regulatory submissions and safety reports still take weeks of manual work and review?

Part of Enterprise AI Transformation

Where it starts in life sciences. The first work handed to agents: regulatory document drafting, pharmacovigilance case intake and medical information agent. Each one drafts or flags, and a named person approves.

See the whole programme

What breaks in life sciences

If two of these are true, the rest of this page is about you.

01

Regulatory documents are written and checked by hand.

What it costsSubmissions slip, and experts spend weeks on formatting and consistency.

What changesAgents draft sections from source data and check consistency across documents for regulatory writers to finalise.

Agentic OS · Agents
02

Adverse event reports arrive by email, phone and literature.

What it costsCase intake backlogs, and reporting deadlines at risk.

What changesReports read, triaged and pre-filled into the safety database for a safety specialist to confirm.

Agentic OS · Signal
03

Medical information queries wait in a queue.

What it costsHealthcare professionals get slow, inconsistent answers.

What changesQueries answered from approved content with sources, and anything off-label sent to medical affairs.

Agentic OS · Flow
04

Quality records live in disconnected systems.

What it costsDeviations and CAPAs close late, and audits are a scramble.

What changesDeviations, CAPAs and training records tracked in one place, with overdue items flagged.

Agentic OS · Pulse

Your role

What changes for each of the people who sign off.

Heads of regulatory affairs

Faster, consistent submissions.

  • Sections drafted from source data
  • Consistency checked across documents

Heads of pharmacovigilance and medical affairs

Case intake and medical queries without the backlog.

  • Adverse events pre-filled for review
  • Medical queries answered from approved content

Heads of quality and compliance

Validated systems and audit-ready records.

  • Validation and an audit trail for every agent
  • Deviations and CAPAs tracked to closure

What we build for life sciences

The capability on the left, what your team would notice on the right.

  • Regulatory

    Regulatory document drafting

    Submission sections, variations and responses drafted from source data, with cross-document consistency checks.

  • Safety

    Pharmacovigilance case intake

    Adverse event reports from email, calls and literature read, coded and pre-filled for safety specialists to assess.

  • Medical

    Medical information agent

    Questions from healthcare professionals answered from approved content with sources, and off-label queries routed to medical affairs.

  • Quality

    Quality, deviation and CAPA tracking

    Deviations, CAPAs, change controls and training records tracked in one place, with overdue items flagged.

  • Clinical

    Clinical trial document checks

    Trial master file documents checked for completeness, versions and signatures.

  • Commercial

    Tenders and key accounts

    Tender notices, formulary decisions and account plans tracked for commercial and market access teams.

Enterprise AI in life sciences, beyond sales

The same programme runs in operations, finance and service. These are the first workflows we usually see handed to agents. Each one drafts, checks or flags; a named person decides.

  • Regulatory

    Submission sections drafted from source data and checked for consistency, for regulatory writers to finalise.

  • Safety

    Adverse event reports taken in and pre-filled for safety specialists to assess and confirm.

  • Medical affairs

    Medical information queries answered from approved content, with off-label questions routed to a person.

  • Quality

    Deviations, CAPAs and training records tracked, with audit evidence collected as work happens.

  • Commercial and market access

    Tenders, formulary decisions and account plans tracked, with contracts checked against your standard terms.

Where we start

Small, fixed and useful on its own. You decide after each step.

  • Weeks 1 to 3

    AI Transformation Review

    Regulatory, safety, quality and systems reviewed, with your quality team, and the first workflows ranked by value and validation effort.

  • First pilot

    Medical information or case intake

    One agent live on approved content or incoming reports, validated for its intended use, with a baseline.

  • Then

    Regulatory drafting and quality

    Submission drafting and CAPA tracking, on validated, in-region infrastructure.

Questions

Can AI be used in GxP processes?

Yes, when it is validated for its intended use, controlled and audited. We build validation evidence, audit trails and human sign-off into each agent, aligned to your quality system.

Will agents decide on safety cases?

No. They take in and pre-fill cases. Safety specialists assess and confirm every case.

Where does our data go?

Data stays in your systems and region, on infrastructure you control, with private models where public AI services are not allowed.

Where do we start?

With the AI Transformation Review. It ranks the first workflows by value and by the validation effort each needs.

AI transformation for the agentic engine era

Start with a fixed-fee AI transformation review. We map your systems, data and teams against the six layers of Pegasus Agentic OS and name the first workflows to hand to agents. You keep the findings whether or not you work with us.