Complex data tables
Share existing Excel or CSV workbooks with multiple tabs, fields, owners, statuses, and relationships that your team already depends on.
Upload complex spreadsheets, related PDFs, and Word documents, or describe your workflow. Teable AI uses that context to shape a practical CTMS workspace around the way your team operates.
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START WITH THE MATERIALS YOU ALREADY HAVE
Drop in complex spreadsheets, related PDFs, Word documents, or other supporting materials alongside a plain-language brief. Teable AI can use that context to design a CTMS system for your team—or another custom system that matches the workflow you describe.
Share existing Excel or CSV workbooks with multiple tabs, fields, owners, statuses, and relationships that your team already depends on.
Add protocols, SOPs, process documents, checklists, requirements, or other reference files that explain how the work should happen.
Say whether you need a small-team CTMS, review workflow, portal, dashboard, or another operational system—and tell AI what success looks like.
Use the paperclip inside the AI builder to upload files. Only share materials your team is authorized to use.
Study operations
Connect studies, sites, people, milestones, and issues in one model.
Site visibility
Give study teams a shared view of activation, visits, risks, and next actions.
Team workflows
Create role-aware views, approvals, reminders, and handoffs around live records.
Scope clarity
Start small, keep the data model clear, and make governance decisions around your use case.
A CTMS STARTS WITH THE OPERATING MODEL
The first useful step is not another spreadsheet. It is a clear model of the work: what must be tracked, who owns it, what depends on what, and which signals need attention.
Define studies, protocols, sites, investigators, milestones, visits, issues, and documents as connected records instead of isolated tabs.
Shape focused views for study managers, CRAs, regional leads, and executives from the same underlying data.
Start with an AI-generated first version, then adjust fields, interfaces, permissions, and automations as the study process evolves.
FROM STUDY BRIEF TO WORKSPACE
Use natural language to describe the workflow. Teable gives you a working structure to review with clinical operations, data, and quality stakeholders.
Name the users, entities, milestones, handoffs, and decisions that matter from startup through closeout.
Check the generated tables, relationships, views, and workflow assumptions against how your team actually operates.
Create dashboards, forms, filtered views, and permissions so each contributor sees the work they own.
Add reminders, approvals, status changes, and notifications where manual follow-up creates delay.
WHAT YOUR TEAM CAN SHAPE
Use Teable to organize operational records and team workflows. Start with the information a small team needs every day, then refine the workspace as the study process becomes clearer.
Track study status, site activation, investigator details, milestones, owners, and follow-up work in linked records.
Create visit schedules, findings, action items, due dates, and resolution views for operational oversight.
Give leadership and delivery teams different ways to see the same portfolio, study, or site-level information.
Set a foundation for role-aware collaboration and automate routine reminders or handoffs around the records.

ONE MODEL, DIFFERENT WORK SURFACES
A clinical trial management workflow becomes more useful when each role can act on the same source of operational truth without navigating an overloaded tracker.
See milestone health, site activation progress, open issues, and decisions that need escalation.
Work from a focused queue of visits, findings, follow-up actions, and due dates.
Filter the same model to the countries, sites, investigators, or tasks they own.
Review portfolio-level status and trends without losing the detail needed to act.
A PRACTICAL STARTING POINT
AI can accelerate the draft. Your clinical operations and quality stakeholders should decide whether the resulting workflow fits the intended use and governance model.
Describe your roles, records, study phases, milestones, and the decisions your team needs to make.
Use the AI app builder to create a first-pass data model and operating surface from your brief.
Test it with representative operational scenarios, then refine the structure, views, permissions, and automations.
AI CTMS SYSTEM FAQ
A clear boundary makes an AI CTMS project more useful. Start with the operational workflow you need to improve and validate the governance requirements separately.
An AI CTMS system combines clinical trial management workflows with AI-assisted setup, navigation, or analysis. In this Teable workflow, AI helps generate a configurable operational workspace for studies, sites, milestones, monitoring tasks, issues, and reporting views.
Yes. Teable can help a small team create a configurable CTMS workspace with linked records, role-aware views, dashboards, forms, permissions, and automations. Start with operational workflows and review the privacy, validation, and governance requirements for your intended use.
This page is designed for operational workflow data such as studies, sites, milestones, monitoring work, issues, and documents. Do not put patient-level clinical data into a generated workspace unless your organization has separately approved the architecture, privacy controls, and intended use.
You can model study and site status, investigators, startup milestones, monitoring visits, findings, action items, owners, due dates, documents, risks, and decisions. The exact fields and workflow should reflect your study process and governance requirements.
Start with the operational records and decisions your team manages every day: studies, sites, milestones, monitoring work, issues, owners, and due dates. Then review access, privacy, validation, governance, and integration requirements before expanding the workflow.
Start with a study brief, generate a working operational model, and refine it with the people who will use it.