Zifo, a provider of AI and data-driven enterprise informatics for science-driven organizations, has developed an AI-powered document authoring solution that reduces first-draft timelines for regulatory submissions from days to hours. The system targets the manual, time-consuming process of creating Clinical Study Reports (CSRs), Investigator Brochures, and CMC submissions, while ensuring compliance with 21 CFR Part 11 and EU ANNEX 11 standards.
What it does
The solution automates drafting by extracting and summarizing both structured and unstructured data using Large Language Models (LLMs) and AI-assisted templating. It generates consistent, human-like content while validating it against configurable checks to preserve traceability and writer oversight. The system is built on a fine-tuned Llama-3.1-70B backbone and enforces ICH M4Q guidelines at the token level, reducing FDA/EMA query cycles by an average of three per filing.
Key features
- Domain-agnostic flexibility: Adaptable to research, regulatory, CMC, or clinical domains.
- Explainable AI: Every generated section includes source references and metadata to support audits.
- Human-in-the-loop: Writers retain full control with options to accept, modify, or regenerate any section.
- Flexible deployment: Can be hosted in a customer's private cloud or on-premises to ensure data confidentiality.
Addressing industry bottlenecks
Regulatory writing teams face several recurring challenges that this solution is designed to resolve:
- Time constraints: AI-assisted co-authoring reduces first-draft timelines from days to hours.
- Consistency issues: A template-driven structure ensures uniform quality and formatting across documents.
- Data fragmentation: The solution supports ingestion and synthesis of data from multiple sources.
- Capacity gaps: By automating repetitive sections, writers can focus on high-value content during high-volume phases.
- Compliance risks: Source-linked references and audit trails ensure traceability.
Impact across the value chain
The solution provides strategic value at every stage of the scientific lifecycle:
- Discovery & Preclinical: Summarizes scientific literature and generates screening reports.
- Clinical Trials: Speeds up creation of protocols, Investigator Brochures, and safety narratives.
- Regulatory Affairs: Delivers submission-ready documents aligned with FDA, EMA, and ICH standards.
- Pharmacovigilance: Automates safety data integration for Periodic Safety Update Reports (PSURs).
How it fits into Zifo’s broader approach
Zifo leverages its deep scientific knowledge, technical expertise, and AI know-how to solve recurring issues across the entire scientific value chain. By combining domain-specific insights with advanced technologies—like multi-agent orchestration and RAG-based LLM processing—Zifo ensures digital and data continuity is maintained from research and development through manufacturing and quality control.
Bottom line
Zifo’s AI-powered document authoring solution addresses a specific, high-friction point in regulatory submissions: the manual drafting of first-pass content. By automating repetitive sections while keeping human oversight in place, it aims to reduce timelines and compliance risks without sacrificing traceability or writer control.