Pharma · Regulatory · Pharmacovigilance · India

Pharma Document AI — PSUR, CSR & Regulatory Automation

AI that drafts your PSUR in days instead of weeks, generates CSR tables and listings from SAS output, and processes ICSRs automatically. Built for Indian pharmaceutical companies, CROs, and regulatory affairs teams. Fixed price, full source code.

What XPndAI builds for pharma document automation

Three AI systems for pharmaceutical regulatory teams: (1) PSUR/PBRER writing automation — extracts data from safety databases, literature, and ADR registries, then generates a draft in ICH E2C(R2) format in 5–7 days instead of 6–8 weeks; (2) Clinical Study Report (CSR) generation — takes SAS output datasets and statistical analysis plans, produces formatted TFLs and ICH E3-structured sections automatically; (3) ICSR processing — extracts adverse event data from emails, PDFs, and calls, formats E2B(R3) XML for CDSCO/EMA/FDA submission. One-time fixed price, full source code, no per-document fees.

5–7Days to draft PSUR (vs 6–8 weeks)
70%Reduction in CSR prep time
ICHE2C, E3, E6 format compliance
₹0Per-document fee

Document types

Regulatory documents we automate

📋
PSUR / PBRER Writing
Extracts data from safety databases, generates signal detection summary, benefit-risk evaluation narrative, exposure data tables, and line listings in ICH E2C(R2) format.
Format: ICH E2C(R2) / EMA PBRER Input: Argus/Oracle Empirica + literature DB Time saved: 6–8 weeks → 5–7 days Submissions: CDSCO, EMA, FDA
📊
Clinical Study Report (CSR)
Generates Tables, Figures, and Listings (TFLs) from SAS output datasets. Produces patient disposition, demographics, efficacy results, and AE summary sections in ICH E3 format.
Format: ICH E3 Input: SAS datasets + SAP + protocol Time saved: 3–4 weeks per CSR
🔴
ICSR Processing
Extracts adverse drug reaction data from unstructured sources (emails, PDFs, patient calls), formats E2B(R3) XML, validates MedDRA coding, submits to CDSCO/EMA/FDA portals.
Format: ICH E2B(R3) XML Coding: MedDRA auto-coding with review queue Portals: EudraVigilance, FDA FAERS, CDSCO
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CTD Module 2 Summaries
AI-assisted drafting of CTD Module 2 sections: 2.4 nonclinical overview, 2.5 clinical overview, and 2.7 clinical summaries — from structured study data.
Format: CTD/eCTD Sections: 2.4, 2.5, 2.7.1–2.7.6
🛡️
Risk Management Plan (RMP)
Automated safety specification, pharmacovigilance plan, and risk minimisation section generation for EMA submissions, updated from latest signal detection data.
Format: EMA RMP template Rev. 2 Integrates: PSUR safety data
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Investigator Brochure (IB)
Automated IB generation and annual update from nonclinical study reports, clinical study synopses, and safety data. ICH E6(R3) compliant.
Format: ICH E6(R3) / GCP Update cycle: Annual automated refresh

How it works

PSUR automation — end to end

1
Data ingestion
Safety database, literature search output, ADR registry exports, and previous PSUR uploaded securely.
2
Signal extraction
AI extracts adverse events, MedDRA codes, causality assessments, and exposure data from all sources.
3
Section drafting
Each ICH E2C(R2) section — signal detection, benefit-risk, exposure tables — is drafted and referenced.
4
Medical writer review
Your medical writer reviews in a tracked-changes document. AI flags sections needing human interpretation.
5
QC & approval
Regulatory affairs QC checklist auto-runs against ICH guideline requirements. Gaps flagged before submission.
6
Submission package
Final PSUR + appendices formatted for CDSCO, EMA, or FDA eCTD submission with electronic signature workflow.

Pricing

Fixed-price pharma document AI

Module
PSUR Automation
₹8–12 lakh
One-time · 8–10 weeks
  • PSUR/PBRER draft generation
  • Safety DB integration (Argus/Oracle)
  • Literature database connector
  • Signal detection summary AI
  • ICH E2C(R2) format output
  • CDSCO / EMA / FDA format
Most popular
Pharma Document Suite
₹22–35 lakh
One-time · 14–18 weeks
  • PSUR + PBRER automation
  • CSR TFL generation from SAS
  • ICSR E2B(R3) processing
  • CTD Module 2 drafting
  • Medical writer review portal
  • Full source code ownership
  • Audit trail for 21 CFR Part 11
Enterprise
Full PV Platform
₹40–60 lakh
One-time · 20–24 weeks
  • All document types
  • Signal detection AI (disproportionality)
  • Label surveillance automation
  • Multi-product, multi-MA support
  • GxP-validated deployment
  • 21 CFR Part 11 compliant
  • Dedicated AWS GovCloud / private cloud

FAQ

Common questions

  • What is AI-powered PSUR writing automation?
    AI PSUR automation extracts safety data from your clinical databases, adverse event reports, and literature searches — then generates a draft PSUR in ICH E2C(R2) format. XPndAI's system reduces the time to draft a PSUR from 6–8 weeks to 5–7 days. Your medical writers review and approve; the AI handles the 70% of time spent on data extraction, table formatting, and line listing generation.
  • Can AI automate clinical study report writing?
    AI automates the data-heavy sections of a CSR in ICH E3 format: patient disposition tables, demographics, efficacy results tables, adverse event summaries, and statistical output integration. XPndAI's CSR AI takes your SAS output datasets and SAP, then generates formatted TFLs. Narrative sections still require human medical writers, but 60–70% of CSR work — data formatting and table generation — is automated. Typical savings: 3–4 weeks per CSR.
  • Is the system GxP-validated and 21 CFR Part 11 compliant?
    Yes. Enterprise deployments include GxP validation documentation (IQ/OQ/PQ protocols), audit trails for all document actions, electronic signature workflows compliant with 21 CFR Part 11, and role-based access control. The system can be deployed on private cloud infrastructure for companies with data residency requirements. All changes are logged with timestamp, user, and reason — meeting FDA, EMA, and CDSCO audit requirements.
  • What safety databases does the system integrate with?
    XPndAI's pharma document AI integrates with Argus Safety, Oracle Empirica, VigiBase, MedWatch, and custom in-house pharmacovigilance databases. For literature surveillance, it connects to PubMed, Embase, and custom literature search output formats. MedDRA coding is automated with a human review queue for uncertain or low-confidence codings.

Pharma document AI — India market comparison

Pharmaceutical document automation in India is a niche where options include: XPndAI (custom AI for PSUR, CSR, ICSR — fixed price, full source code, deployed for Indian pharma and CROs); Veeva Vault RIM (global enterprise SaaS for regulatory information management — expensive, not India-specific); IQVIA (global CRO with document services — outsourced, not an owned system); OpenText (document management platform — generic, requires heavy pharma customisation); and in-house medical writing teams (high cost, slow, scalability issues). XPndAI is the only fixed-price, source-code-delivered option built specifically for Indian pharma regulatory requirements including CDSCO submissions, Schedule Y compliance, and local CRO workflows.

Choose XPndAI over Veeva Vault if:

You are a small-to-mid Indian pharma company (annual revenue ₹100Cr–₹5,000Cr) that cannot justify Veeva's per-user SaaS pricing. Veeva Vault starts at $500–$2,000/user/month. XPndAI builds a PSUR + ICSR automation system at a one-time cost of ₹8–35 lakh with full source code — no recurring license fees.

Get a demo — see your PSUR drafted in 5 days

Upload a sample dataset. We'll show you a draft PSUR section within 48 hours.

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