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Clinical trial project management

Clinical trial project management software for better study execution

Milestones, dependencies, owners and risk logs, generated from the protocol and kept current as the study moves. Built for the project managers who hold a trial together.

Protocol AI · Study MK-SAMPLE-201

1 · Extracted

  • Visit 3, Day 28 ± 3 days

    §6.2, p. 42Approved
  • 12-lead ECG at Visits 1, 3, 6

    §6.4, p. 45Approved
  • PK sample, 2 h post-dose

    §7.1, p. 51Needs review

2 · Study plan

Wk 0 to 80
  • Site activation, 3 sites

    CPM

  • First patient in

    Sites

  • Visit 3 window tracking

    CRA

  • PK sample logistics

    Lab

  • Interim data review

    DM

1 item waiting for reviewer sign-off before it enters the plan.
Illustrative example with sample data. Your demo uses a real or sample protocol of your choice.

Definition

What is clinical trial project management?

Clinical trial project management is the discipline of turning a protocol into scheduled, owned work, then steering that work through start-up, enrollment, conduct and close-out.

It covers the timeline, the steps that decide when the first patient is enrolled, the budget, the risks and issues that threaten delivery, and the reporting sponsors expect.

General project tools can hold tasks, but they do not understand visits, windows or protocol amendments. Protocol AI is built around those study concepts.

The problem

Why clinical trial projects become difficult to manage

Every delay day is expensive, and most of the delay is set up before the first patient.

What you get

Plan your study from protocol to execution

Early access features for study project management. Roadmap items are confirmed per customer.

Study milestones

Start-up, site activation, first patient in, interim analyses and close-out, tracked against the approved plan.

Task ownership

Owners, due dates and status for every task, with a history of who changed what and when.

Dependencies and timeline

A timeline that shows task dependencies, so a late contract or ethics approval shows its knock-on effect right away.

Risk and issue tracking

Logs for risks, issues, decisions and protocol deviations, linked to the tasks they affect.

Clinical operations reporting

Status views and exports for sponsor updates and internal reviews, built from the same plan the team works in.

Resource forecasting

Roadmap

Forward views of staff workload across studies to support capacity planning.

How it works

See Protocol AI in action

Automation does the first draft. People make every decision that matters.

  1. 01

    Upload the protocol

    Start from the approved protocol PDF or Word file. Or hand it to our team during guided onboarding. No blank setup and no retyping the schedule of activities.

  2. 02

    AI pulls out the study details

    Visits, windows, procedures, eligibility points and milestones are pulled out, each linked to the section and page it came from.

  3. 03

    Your team reviews and approves

    A project manager or clinical lead accepts, edits or rejects each item. Nothing enters the plan without a named reviewer.

  4. 04

    The study plan is generated

    Approved items become a timeline, a task list with owners and a starting budget.

  5. 05

    Run the study in one place

    Track tasks, milestones, risks, issues and deviations as the study moves, with a history of who changed what.

Generated automatically

Draft extraction of visits, windows, procedures and milestones, each with a protocol section reference, plus a draft timeline and task list.

Requires human review

Every extracted item, every task owner and date, and the approved plan itself. Nothing is used until a named reviewer approves it.

Fit

Benefits for sponsors and CROs

A shared plan replaces status meetings spent reconciling spreadsheets.

  • Sponsors see progress and risk without waiting for a weekly report.
  • CRO project managers start each study from the protocol instead of a copied template.
  • Your team can update the approved plan after an amendment, with the history preserved.
  • Leaders can trace any date in the plan back to the protocol requirement behind it.

Compliance

Documentation and compliance, stated plainly

Protocol AI keeps an audit trail of changes with user and time, limits access by role, and links every extracted item to its source in the protocol. It is designed to support 21 CFR Part 11 controls and the sponsor oversight expected under ICH E6(R3), showing who approved each part of the plan.

Compliance also depends on your procedures, so formal system validation is completed with each regulated customer rather than claimed in advance. Read the security and compliance overview for details.

FAQ

Frequently asked questions

Can we use Protocol AI alongside Microsoft Project or Smartsheet?

Yes. Many teams start by running Protocol AI next to their existing tools. Plans and task lists can be exported while you decide how far to move.

Does Protocol AI show what drives our key dates?

The timeline shows dependencies between tasks and milestones so you can see what drives your key dates. Your project manager decides what goes into the approved plan.

Is anything generated by AI used without review?

No. Each extracted item shows the protocol section it came from and stays in review until a named person approves, edits or rejects it. Only approved items enter the approved plan.

How much does Protocol AI cost?

Pricing depends on your study, number of sites and the support you need. Book a demo or contact us and we will send a clear quote.

See your own protocol turned into a plan

Bring a protocol, or use our sample study. In 30 minutes you will see the extracted schedule, the generated plan and what your team reviews before anything goes live.

Prefer email? Write to jmodi@manakiki.net. A person replies, usually within one business day.