In this guide
The short answer
Use AI for a clearly defined project task, give it only appropriate information, and check its output against reliable evidence. Keep a person accountable for decisions and consequences. The level of review should match the task's effect, especially when information is sensitive or an action changes commitments.
Pick a task with a clear result
Start with something you can review, such as drafting a meeting agenda from an approved action list, organizing already verified notes, or suggesting questions for a risk workshop. Define what good output looks like and what the tool is allowed to use.
A vague instruction to manage the project gives too much room for assumptions. A bounded task is easier to assess: create a draft agenda from these five approved action items; preserve each owner and date; identify missing information instead of filling it in. That gives you a result you can compare with the source.
Check the information before sharing it
Use the organization's approved tools and data rules. Project material may contain personal information, contracts, security details, credentials, or commercially sensitive plans. Share only the information needed for the task and confirm that the chosen service is appropriate for it.
Changing a person's name does not necessarily remove identifying information from a detailed story. For an early experiment, use fictional or approved non-sensitive material. If a tool needs access to an account, keep its permissions limited to the task. Read access and permission to send, publish, or purchase are different capabilities.
Work through a status-draft example
In an original example, you give an approved tool a short action list: booking tests are complete; cancellation testing is blocked by an unresolved refund rule; the product owner will review the rule on Thursday. Ask it to draft a brief update using only those facts.
The output says the project will launch on Friday. That date was never supplied. Remove the claim and check the rest of the draft for invented progress, owners, approvals, and causes. A confident tone does not make a statement supported. The final update should distinguish confirmed work from pending decisions.
Keep review and decision authority with people
An AI suggestion can help you compare options, but it does not establish that a cost is approved, a risk is acceptable, or a person has agreed to a handoff. Ask the relevant owner to assess consequential recommendations using current project evidence.
For automated actions, define the allowed scope, required approvals, and failure handling before use. A generated email draft is not a sent message. A submitted request is not a confirmed result. If an action's outcome is uncertain, check its state before retrying so the tool does not create duplicate commitments.
Use a short review before relying on the result
Review should be specific enough to catch the errors that matter for the task. You do not need a long ceremony for a low-impact draft, but you do need a clear check.
- Can each important claim be traced to a current source?
- Are owners, dates, figures, and approval states preserved accurately?
- Has the output introduced assumptions, unfair judgments, or sensitive details?
- Does a qualified person need to review a technical or consequential conclusion?
- Is the next action within the tool's permissions and the user's actual approval?
- How will we confirm the result and correct or stop an unsuitable action?
Your next step
Use AI to support a defined task and make the result reviewable. Keep evidence, permissions, approval, and accountable human judgment clear.
Sources and further reading
Use these sources for the full context and current guidance.
- Project Management InstituteHuman in the loop: what project managers need to know
