The Results:
45–55%
40%
Reduction in eCTD Preparation Time
Reduction in Manual Review Effort
Overview
In the highly regulated pharmaceutical industry, speed, accuracy, and compliance in regulatory submissions are critical to ensuring timely market access. A leading global pharmaceutical manufacturer faced growing challenges in preparing and filing electronic Common Technical Documents (eCTD) across multiple products and geographies. Manual processes, fragmented data, and high review effort were slowing submissions and increasing compliance risk.
By partnering with Wizr AI, the organization implemented an AI-powered, human-in-the-loop eCTD automation platform that transformed regulatory document preparation—significantly improving turnaround times, data accuracy, and operational efficiency while maintaining strict regulatory compliance.
The Crucial Challenge: Scaling Regulatory Submissions
As submission volumes increased, the regulatory operations team encountered several bottlenecks that impacted speed and quality:
- Manual, Time-Intensive Data Extraction:
Critical data required for eCTD modules had to be manually extracted from contracts, source documents, and legacy systems—often taking days per submission and increasing dependency on specialized resources. - High Risk of Compliance Errors:
Validating submissions against eCTD standards, mandatory fields, and master data was heavily manual, leading to rework, audit risk, and delayed filings. - Fragmented Master Data Mapping:
Mapping extracted content to enterprise master data (product, site, dosage, regulatory metadata) was inconsistent, resulting in mismatches and quality issues during review. - Heavy Review Burden on Regulatory Experts:
Senior regulatory professionals spent disproportionate time on data validation and corrections instead of high-value scientific and compliance decision-making.
“Our regulatory teams were spending more time assembling submissions than advancing them.”
The Solution
Wizr AI implemented an AI-powered, multi-agent eCTD preparation platform designed to automate extraction, validation, and assembly while keeping humans firmly in control.
- AI-Driven Agentic Workflow
Wizr deployed a coordinated set of intelligent agents, each optimized for a specific stage of the eCTD lifecycle:
a) Document Agent to ingest, classify, and organize submission documents
b)Extraction Agent to convert unstructured content into hierarchical, structured data
c) Compliance Agent to validate content against eCTD standards and regulatory rules
d) Assembly Agent to auto-generate CTD modules and XML backbones
e) Quality Agent to verify completeness, accuracy, and submission readiness
This agent-based approach enabled parallel processing across sections, dramatically reducing preparation time.
- Master Data Mapping & Validation
AI agents automatically mapped extracted fields against enterprise master data, creating clean, structured JSON outputs. Any mismatches or missing values were flagged for correction, reducing downstream errors.
- Human-in-the-Loop Review with Confidence Scoring
A smart review interface highlighted extraction confidence using visual cues (high, medium, low confidence), allowing regulatory users to quickly validate or correct content before final submission—ensuring trust, transparency, and control.
- Automated XML Generation & Audit Trails
Once approved, the system generated submission-ready XML and maintained full audit trails, supporting inspection readiness and regulatory compliance.
The Results
The AI-powered eCTD solution delivered measurable impact across speed, quality, and cost:
- 45–55% Reduction in eCTD Preparation Time: Automated extraction, validation, and assembly significantly shortened submission cycles, enabling faster regulatory filings and improved time-to-market.
- 40% Reduction in Manual Review Effort: Regulatory experts spent far less time on repetitive checks and corrections, freeing capacity for scientific review and strategic regulatory planning.
- Improved Submission Quality & Compliance: AI-led validation against eCTD standards reduced errors, rework, and audit risk—leading to more consistent, submission-ready outputs.
- Scalable, Future-Ready Regulatory Operations: The platform enabled the organization to scale submissions across products and regions without proportionally increasing regulatory headcount.
- Lower Cost per Submission: Automation and reuse of structured data resulted in significant operational cost savings across the regulatory lifecycle.
