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Protocol AI vs spreadsheet-based clinical trial management

Spreadsheets are flexible, familiar and free to start. They also get harder to keep accurate as a study grows. Here is when they work, where they struggle, and how Protocol AI can help.

Today

How clinical trials are managed using spreadsheets

Many sponsors, CROs and research teams run trials from spreadsheets: a timeline tab, a site tracker, a task list, a risk log and a budget workbook, often shared by email or a shared drive.

This works well for a small study with a stable protocol and a small team. It becomes harder when several people edit copies, when the protocol is amended, or when someone asks who changed what and when.

Protocol AI keeps the plan in one place, built from the protocol, with owners, statuses and a history of changes. Spreadsheets can still be useful for one-off analysis and exports.

Side by side

Protocol AI vs spreadsheet-based clinical trial management

A practical comparison. Protocol AI does not remove every spreadsheet, and exports are available when you need one.

Protocol AI vs spreadsheet-based clinical trial management
TopicSpreadsheetsProtocol AI
Building the planSchedule of activities retyped by handDraft extracted from the protocol for review
Version controlCopies by email or shared driveOne current plan with a history of changes
OwnershipOwner columns kept up to date by handEvery task has an owner, due date and status
AmendmentsEvery tab updated by handChanges start from the source document
Audit trailLimited, depends on file historyChanges recorded with user and time
Cost to startLowPriced per study; contact us for a quote
Best fitVery small, stable studiesStudies with several people, sites or amendments

The problem

Common challenges of spreadsheet-based trial management

The risk grows with each amendment, site and team member.

What you get

Managing clinical trial tasks and milestones

Early access capabilities that address common spreadsheet gaps. Roadmap items are confirmed per customer.

Protocol-based planning

Visits, windows, procedures and milestones extracted from the protocol, each with a source reference.

Tasks and ownership

Owners, due dates and statuses that everyone sees in the same place.

Milestone tracking

Start-up, first participant in, interim reviews and close-out tracked against the approved plan.

Risk, issue and deviation logs

Linked to the work they affect, instead of a separate tab.

Audit trail and role-based access

Changes recorded with user and time, and access limited by role.

Exports

Structured exports when you still need a spreadsheet for analysis or reporting.

How it works

From protocol upload to a reviewed study plan

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

When should clinical research teams move beyond spreadsheets?

Spreadsheets are fine until they are not. Common signs it is time to change:

  • More than one person updates the plan and copies disagree.
  • A protocol amendment takes days to reflect in every tracker.
  • You cannot quickly show who approved a change and when.
  • You are preparing for an audit or inspection and need a clear record.

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 import our existing spreadsheets?

Protocol AI starts from the protocol rather than from old trackers. During guided onboarding we review your current spreadsheets with you so nothing important is lost.

Will we still use spreadsheets?

Possibly, for one-off analysis or reports. Protocol AI provides exports for that. The plan itself stays in one place.

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.