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How can I check an AI-written project update before I send it?

AI can turn project notes into a polished update. The review question is whether it turned an open question into an approved decision, planned work into completed work, or a requested date into a commitment.

Use this as a general review aid, not a job forecast or permission to use AI with project data. Follow your organization’s approved-tool and information-handling rules.

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Five checks before an update leaves your hands

Review the claims in the update, not just how readable the draft sounds. For each statement that could affect a decision, ask:

1. Can I trace it to an approved source?: Compare facts with the project record your team treats as authoritative. A plausible summary is not its own source.
2. Is the status precise?: Keep “planned,” “in progress,” “blocked,” and “complete” distinct. Confirm what was done and when before changing the status.
3. Was a decision actually made?: Separate a suggestion, request, or discussion from a recorded approval. Do not let confident wording imply consent that is not in the record.
4. Are owners and dates confirmed?: Check the accountable person, dependencies, and date against the plan. Mark missing details as unconfirmed instead of filling them in.
5. What risk or uncertainty is missing?: Compare the draft with open issues and decisions. Restore material caveats, blockers, and next actions before sharing.

PMI’s project-management AI guidance emphasizes human review and accountability. This checklist turns those responsibilities into a short review of one common work artifact; it is not a replacement for your project controls.

Spot the difference in a fictional update

Imagine the only verified notes are: an accessibility review is still open; a sponsor requested a November 12 target; approval of that target is pending; and a readiness review is scheduled for Friday.

AI draft to check

“The readiness review is complete. The sponsor approved launch for November 12, and no blockers remain.”

A fact-traceable revision

“The readiness review is scheduled for Friday. The sponsor requested November 12; approval is pending. The accessibility review remains open.”

The improved version is less certain because the facts are less certain. A human still decides what the update means, who needs to act, and whether it is ready for its audience.

Reusable status-update outline

Start with verified project facts, then fill only the parts you can support. Keep open questions visible.

Progress: confirmed status and source

Decision: recorded decision, or “pending”

Risk or dependency: known issue, or “none confirmed”

Next action: owner and date, if confirmed

Open question: what still needs a human answer

Keep real project information inside the tools and channels your organization has approved. The sample above is fictional.

Measure the whole task, including review

If your organization permits a small test, use fictional or approved non-sensitive information and compare the full task with your normal method. Count review, corrections, and follow-up—not just time spent generating a draft.

Could you verify each consequential statement against its source?
Did the draft preserve uncertainty and important open risks?
How many facts, dates, owners, or decisions needed correction?
Did preparing and reviewing the draft improve the task for its intended audience?

Stop or change the test if review takes more effort than the task it was meant to help, if the source is unclear, or if your organization’s rules do not permit the workflow.

Read the source guidance

Project Management Institute guidance discusses responsible collaboration with AI and human review in project-based work. Check the original material and your own organization’s policies before applying it to a live project.

Your personal next step

Want a personal starting point?

The free 10-minute IntellectraAI assessment gives project managers a profession-specific readiness profile, capability priorities, a learning path, and a four-week Development Plan. It helps you reflect on your own answers; it does not grade your project controls or decide whether a draft is safe to send.

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