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CLINICAL TRIAL PROTOCOL SOFTWARE

Design protocols.
Make them computable.

Zen Protocol AI is a clinical trial protocol design software built for modern clinical development.

Author to ICH M11. Convert legacy protocols. Compile eligibility criteria into computable rules. Simulate enrollment before you commit.

One protocol workspace. From design to feasibility.

For Sponsors · CROs · Clinical Development Teams

Zen Protocol AI Dashboard - ICH M11 Protocol Authoring & Simulation
THE PROBLEM

Protocols are still built like documents.

Word files. PDFs. Manual revisions.

Eligibility criteria buried in prose.

Feasibility estimates built on assumptions.

The protocol is the blueprint for the trial.
It should be structured like one.

PROTOCOL AI

A new workspace for clinical trial protocol design.

Zen Protocol AI brings protocol authoring, structured study logic, eligibility compilation, and feasibility into one workflow.

ICH M11

Author clinical trial protocols against the international ICH M11 standard.

Structured Authoring

Build protocols as structured clinical content—not just pages of text.

Legacy Conversion

Transform existing PDF and DOCX protocols into structured, editable content.

Criteria Compiler

Convert inclusion and exclusion criteria into deterministic, computable patient eligibility rules.

Protocol Intelligence

Connect protocol sections, study logic, endpoints, populations, and eligibility criteria.

From document → structured protocol → computable trial.

CLINICAL TRIAL PROTOCOL DESIGN

Design with structure from day one.

Good protocol design is more than writing. It is about making every decision clear, consistent, and operational.

01

Define

Structure the study population, objectives, endpoints, interventions, and design.

02

Standardize

Build against the ICH M11 protocol standard.

03

Validate

Identify inconsistencies across protocol logic and dependent content.

04

Compile

Turn eligibility language into deterministic rules.

05

Simulate

Test feasibility before the protocol becomes a commitment.

LEGACY PROTOCOL CONVERTER

Your existing protocols. A structured starting point.

Have years of protocols sitting in Word and PDF? Bring them into Protocol AI.

PDF / DOCXLegacy documents
Structured ProtocolReady to author

Preserve the clinical content while transforming legacy documents into a structured authoring environment.

Convert.
Structure.
Refine.

No need to start from scratch.

ELIGIBILITY CRITERIA

Turn clinical language into computable rules.

Eligibility criteria are often written for humans. Clinical systems need something more precise. Protocol AI's deterministic criteria compiler transforms protocol eligibility language into structured, computable rules.

Inclusion

Translate patient inclusion requirements into structured logic.

Exclusion

Define exclusion conditions as explicit rules.

Computability

Create criteria that can be interpreted consistently by downstream systems.

Traceability

Maintain a clear connection between the original protocol language and the compiled rule.

Human-readable → machine-computable.

ICH M11

Built around the global protocol standard.

Protocol AI is harmonized to the ICH M11 standard for clinical trial protocol authoring. Create protocols with standardized structure while maintaining the flexibility required for real-world clinical development.

  • Standardized structure.
  • Structured content.
  • Better downstream interoperability.

Author once. Structure for what comes next.

PREDICTIVE FEASIBILITY

Don't design in the dark.

Protocol design and trial feasibility are connected. A change in population, eligibility, geography, site assumptions, or dropout can change the enrollment curve. Protocol AI brings feasibility intelligence into the protocol workflow.

Monte Carlo Simulation

Model thousands of possible enrollment scenarios instead of relying on a single estimate.

Probability of Success

Calculate the probability that your enrollment plan reaches its target.

P10 / P50 / P90

See optimistic, median, and conservative completion timelines.

Sensitivity Analysis

Identify the assumptions that have the greatest impact on trial completion.

Design the protocol. Simulate the trial. Understand the risk.

THE WORKFLOW

From protocol idea to trial intelligence.

1

Design

Build the protocol in a structured workspace.

2

Standardize

Align content to ICH M11.

3

Structure

Convert legacy documents and organize study logic.

4

Compile

Transform eligibility criteria into computable rules.

5

Simulate

Model enrollment and completion scenarios.

6

Decide

Move forward with evidence—not assumptions.

WHY PROTOCOL AI

One workspace. A smarter protocol lifecycle.

Structured by design

Protocols become structured clinical data—not static documents.

Computable by default

Eligibility criteria can move from prose to deterministic logic.

Feasibility-aware

Understand enrollment risk while the protocol is still being designed.

Built for standards

Harmonized to ICH M11.

Ready for what comes next

Create protocol content that can support downstream clinical systems and workflows.

AI + DETERMINISTIC LOGIC

AI drafts. Rules decide.

Protocol AI uses AI where it adds speed and deterministic logic where precision matters.

01

AI

Drafts · Converts · Assists · Explains

02

Deterministic Engines

Compiles · Validates · Structures

03

Statistical Simulation

Models · Forecasts · Quantifies

04

Clinical Teams

Review · Refine · Decide

Intelligence without black-box decisions.

BUILT FOR

Teams designing the next generation of trials.

Sponsors

Design and refine protocols faster.

CROs

Standardize protocol development across studies and sponsors.

Clinical Development Teams

Connect protocol design with feasibility intelligence.

Clinical Research Teams

Move from document-centric workflows to structured clinical intelligence.

Your protocol is more than a document.
Build it that way.

Design structured, computable, feasibility-aware clinical trial protocols with Zen Protocol AI.

Clinical Trial Protocol Software

Built for modern clinical development.