GlobalSubmit

Centralizes in-house regulatory submissions publishing for global filings, reducing reliance on multiple CROs while improving efficiency, cost control, and responsiveness as submission volumes grow.

The Problem

Global regulatory submissions are fragmented, slow to adapt, and hard to learn from at portfolio scale

Organizations face these key challenges:

1

Submission status data is fragmented across internal teams, CROs, and regional systems

2

Regulatory changes are difficult to connect to active products, markets, and filing plans

3

External partner compliance monitoring is periodic, manual, and incomplete

4

Country-specific standards changes increase submission risk and operational complexity

5

Lessons from agency questions are not captured in a reusable, cross-study knowledge base

6

Growing submission volumes strain publishing teams and increase reliance on external vendors

Impact When Solved

Improves real-time visibility into submission readiness, status, and bottlenecks across regionsReduces manual effort in partner compliance monitoring and lifecycle oversightAccelerates adoption of new standards such as eCTD 4.0 for country-specific filingsIdentifies recurring causes of health authority questions to improve future submission qualitySupports in-house publishing scale-up with better cost control and responsivenessConnects regulatory intelligence to portfolio decisions using continuously updated evidence

The Shift

Before AI~85% Manual

Human Does

  • Collect source documents and submission inputs from internal stakeholders and CROs
  • Coordinate publishing steps, country-specific variations, and handoffs through email and SOPs
  • Track package status, blockers, and deadlines in spreadsheets and status meetings
  • Review submission completeness, resolve rework, and approve final publishing release

Automation

  • No AI-driven intake, validation, or workflow orchestration is used
  • No automated document classification or metadata extraction is performed
  • No real-time monitoring of submission progress or SLA risk is available
With AI~75% Automated

Human Does

  • Set submission priorities, review AI-flagged risks, and decide on exceptions
  • Approve package readiness, market-specific rule interpretations, and final publishing release
  • Resolve escalations for missing content, conflicting requirements, or deadline tradeoffs

AI Handles

  • Classify incoming documents, extract metadata, and organize submission intake into a unified queue
  • Check submission readiness, detect missing artifacts, and route work by dossier type, market, and rules
  • Assemble submission packages, recommend document placement, and validate structure against filing standards
  • Monitor status, surface blockers and SLA risk, and reprioritize workflow based on deadlines and capacity

Operating Intelligence

How GlobalSubmit runs once it is live

AI runs the first three steps autonomously.

Humans own every decision.

The system gets smarter each cycle.

Confidence91%
ArchetypeRecommend & Decide
Shape6-step converge
Human gates1
Autonomy
67%AI controls 4 of 6 steps

Who is in control at each step

Each column marks the operating owner for that step. AI-led actions sit above the divider, human decisions and feedback loops sit below it.

Loop shapeconverge

Step 1

Assemble Context

Step 2

Analyze

Step 3

Recommend

Step 4

Human Decision

Step 5

Execute

Step 6

Feedback

AI lead

Autonomous execution

1AI
2AI
3AI
5AI
gate

Human lead

Approval, override, feedback

4Human
6 Loop
AI-led step
Human-controlled step
Feedback loop
TL;DR

AI handles assembly, analysis, and execution. The human gate sits at the decision point. Every cycle refines future recommendations.

The Loop

6 steps

1 operating angles mapped

Operational Depth

Technologies

Technologies commonly used in GlobalSubmit implementations:

Key Players

Companies actively working on GlobalSubmit solutions:

Real-World Use Cases

Real-time submission status monitoring and regulatory intelligence in portfolio context

Managers get live dashboards showing where every submission document stands, plus outside regulatory intelligence that helps them make better filing decisions.

decision support and monitoringmature operational analytics workflow with external data integration.
10.0

Root-cause analysis of health authority questions to improve future submissions

AI looks at questions from agencies like the FDA and helps teams figure out why reviewers asked them, so the next submission can avoid the same problems.

root-cause inference and pattern/anomaly detection over regulatory interactionsconceptual but credible; the author explicitly envisions this use case, contingent on stronger semantic search, pattern detection, and data analysis capabilities.
10.0

Compliance Loop AI-powered global partner lifecycle compliance management

A platform helps pharma companies keep track of whether their outside partners stay compliant over time.

Entity monitoring and lifecycle compliance orchestrationlikely deployed platform with large stated network scale, though ai workflow specifics are sparse.
10.0

eCTD 4.0 submission enablement for Brazil via ANVISA partnership

Certara worked with Brazil’s regulator so drug companies can send newer eCTD 4.0 application packages through GlobalSubmit instead of older, more manual methods.

standards-based submission transformation and compliance validationactive market rollout tied to a named regulator partnership; beyond concept stage.
10.0

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