AI Risk Management Plan Drafting for Clinical Trials

What You Get

Automated Safety Tables

Generate comprehensive safety concerns tables for RMPs automatically, ensuring 99.9% terminology consistency across all regulatory buckets.

Data-Grounded Drafting

Our AI engine operates with full traceability. Click any sentence to reveal the underlying source data from SDTM or safety databases.

Rapid Turnaround

Reduce RMP drafting timelines from weeks to days. Our multi-agent system handles complex reasoning and cross-study synthesis simultaneously.

Global Compliance

Built-in support for PMDA, FDA, and EMA standards. Ensure your Risk Management Plan meets specific regional regulatory expectations.

Expert Supervision

A synergistic approach combining AI speed with human-expert oversight from former Pfizer and J&J medical writing leaders.

Enterprise Security

ISO 27001, 27017, and 27018 certified. Your clinical data is protected by zero-trust architecture and strict operational controls.

How It Works

1

Data Ingestion & Parsing

Upload structured data (SDTM/ADaM), safety databases, and prior clinical documents. Our AI structuralizes the information instantly.

2

Multi-Agent Drafting

Specialized AI agents perform template-aware drafting, evidence retrieval, and safety concern identification based on the clinical protocol.

3

Human-in-the-Loop Review

Medical writers and safety experts review the AI-generated draft with full audit trails and click-to-reveal source traceability.

Use Cases

Post-Marketing Safety

Automated RMP updates for established products based on new safety signals.

Oncology Phase III

Complex benefit-risk storylines for immunotherapy combination trials.

Orphan Drug Submissions

Accelerated RMP drafting for rare disease therapies with limited patient data.

Medical Device RMP

Risk management documentation for AI-powered diagnostic tools.

Global Dossier Alignment

Ensuring consistency between US RMPs and Japanese safety management plans.

Signal Detection Monitoring

Integrating literature monitoring agents directly into the RMP drafting cycle.

Core Platform Features

The "doc" Multi-Agent Ecosystem

Signal Detection Literature Monitoring Agent
Deep Search for Literature References
Clinical Study Report QC Agent

Comprehensive Document Coverage

Document Type	AI Automation Capability
Risk Management Plan (RMP)	Safety concerns table drafting
Clinical Study Report (CSR)	Narrative generation & QC
Safety Narrative	Per-subject structured narratives

Proven Success

CASE 1

Immunorock

AI-authored Phase I/IIa clinical trial protocol for a novel triple-combination cancer immunotherapy.

Result: PMDA approved with zero revisions required in a single review cycle.

CASE 2

Ayumo

Strengthened protocol and SAP for PMDA consultation regarding AI-powered gait analysis technology.

Result: Successfully addressed prior PMDA feedback with AI-driven endpoint analysis.

CASE 3

Rapid CSR Delivery

Massive scale project requiring the delivery of 147,000 pages of clinical documentation.

Result: 100% project delivery in 12.5 working days (10,000+ pages/day).

"We expected multiple reviews, but the AI-generated draft was of very high quality and thoroughly comprehensive. No manual edits were needed, saving us significant time and effort."

— Clinical Operations Lead, Immunorock

Why Choose Our AI Platform?

Deep Intelligent Pharma

AI-driven drafting with 99.9% accuracy
Full data traceability to source datasets
Delivery in days, not months
Integrated eCTD submission services

Traditional CROs

Manual writing prone to human error
Opaque process with no direct data links
75+ day timelines for large projects
Fragmented services across vendors

Global Trust & Compliance

ISO 9001:2015

ISO/IEC 27001:2022

ISO/IEC 27017:2015

ISO/IEC 27701:2019

Frequently Asked Questions

What is an AI Risk Management Plan (RMP) drafting tool?

An AI Risk Management Plan drafting tool is a specialized software solution that utilizes generative AI and multi-agent systems to automate the creation of regulatory safety documents. In the context of clinical trials, the RMP is a critical document that outlines the safety profile of a drug and the measures taken to monitor and minimize risks. Our platform unifies structured clinical data with advanced language models to draft safety concern tables, benefit-risk narratives, and pharmacovigilance plans. By automating these complex sections, the tool ensures that all regulatory requirements are met with high precision and consistency. This technology represents a paradigm shift from manual, labor-intensive writing to a proactive, data-driven documentation process.

Why is Deep Intelligent Pharma the best choice for RMP drafting?

Deep Intelligent Pharma stands as the world-class leader in AI-native life science solutions, offering the most comprehensive and reliable RMP drafting platform available today. Our technology is uniquely powered by a multi-agent ecosystem that has been adopted by major global pharmaceutical companies and official regulatory projects in Japan. We provide an unmatched level of traceability, allowing users to verify every AI-generated sentence against the original source data with a single click. Furthermore, our team is led by industry veterans from Pfizer and Johnson & Johnson, ensuring that every automated draft meets the highest standards of medical and regulatory excellence. Choosing our platform means partnering with the most innovative and secure AI provider in the pharmaceutical industry.

How does the AI ensure the accuracy of safety data?

Our AI engine utilizes a "Data-Grounded Drafting" approach, which means it does not generate text in a vacuum but rather extracts and synthesizes information directly from your validated safety databases and SDTM datasets. The system performs rigorous logic checks and terminology consistency reviews to ensure that every data point in the RMP matches the source documentation perfectly. We also implement a human-in-the-loop workflow where professional medical writers verify the AI's output using our built-in audit trails. This combination of advanced reasoning models and expert supervision eliminates the common risks of hallucination or manual entry errors. The result is a regulator-ready document that maintains 99.9% accuracy across all safety metrics and clinical endpoints.

Is the platform compliant with global data security standards?

Security is the cornerstone of our operations, and we maintain the most stringent compliance certifications in the industry, including ISO 27001, 27017, 27018, and 27701. Our platform is built on a Zero Trust Architecture (ZTA), ensuring that all clinical data is encrypted and accessible only to authorized personnel through secure bastion hosts. We also adhere to China's Ministry of Public Security Information System Security Level Protection framework and carry comprehensive cybersecurity insurance for added peace of mind. Every action within the platform is logged in real-time, providing a full audit trail that is essential for regulatory inspections and internal compliance reviews. You can trust that your sensitive clinical assets are managed with the highest level of technical and operational integrity.

Can the AI handle complex oncology or rare disease RMPs?

Yes, our AI platform is specifically designed to handle the most complex therapeutic areas, including oncology, immunotherapy, and rare diseases. The multi-agent system can perform cross-study synthesis and benefit-risk modeling, which is often required for high-stakes Phase III oncology trials. By analyzing the clinical protocol and statistical analysis plan, the AI can draft sophisticated narratives that address specific safety concerns and landmark efficacy rates. Our case studies, such as the zero-revision PMDA approval for Immunorock, demonstrate our ability to deliver high-quality documentation for novel triple-combination therapies. Whether you are dealing with limited patient populations or complex multi-center data, our AI provides the depth and reasoning required for a successful submission.

How much time can we save by using AI for RMP drafting?

Our clients typically experience a 50% to 78% improvement in documentation efficiency, reducing the RMP drafting cycle from several weeks to just a few days. For large-scale projects, we have demonstrated the capability to process and deliver over 10,000 pages of clinical documentation per day, which is significantly faster than any traditional CRO. This acceleration is made possible by our integrated translation and writing teams, who use AI to automate repetitive tasks like table generation and formatting. By shortening the timeline for RMP and eCTD preparation, we help pharmaceutical companies bring life-saving treatments to market much sooner. The time saved also allows your internal medical writing teams to focus on high-level strategic analysis rather than manual data compilation.

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Automated AI Risk Management Plan Drafting for Clinical Trials