InsightPublished Updated

Where AI can help with project-office work

AI-assisted workflow tools represented as a calm project-office interface.

Project-office work contains plenty of repetition, but repetition alone doesn't make a task safe or useful to automate. Minutes contain implied commitments. Registers contain old entries that still look current. Reports combine facts with judgement. A useful AI trial starts by separating the mechanical first draft from the decisions a person still needs to make.

Use AI for a draft, not a decision

Meeting follow-up is a clear example. Given an approved transcript or set of notes, a tool can propose actions in a consistent format and quote the line behind each one. A reviewer still needs to confirm the owner, deadline and wording with the meeting record. If the discussion didn't settle those details, the draft should show the gap rather than guess.

The same principle applies to reporting. A tool can place supplied updates under the correct headings, identify fields that are blank and flag differences between a report and its source register. It shouldn't decide that a risk is closed, soften an overdue milestone or choose what senior readers need to know. Those calls stay with the project team.

Give the workflow only what it needs

Before testing, name the exact input and output. For a monthly status-report trial, the inputs might be approved workstream updates and the current reporting template. The output is a draft in a review folder. Access to unrelated correspondence, commercial files or a complete data room isn't needed for that job.

The team should agree who may run the process, which tool and account are approved, where working files sit and when they are removed. They should also decide which material stays outside the trial. These choices depend on the client's systems, contracts and information controls, so they need to be made for the actual workflow rather than assumed from a general AI policy.

Check the draft against the source

A named reviewer should be able to trace each action, date and status to the supplied material. Their check includes omissions as well as obvious errors: a neat draft can still miss the one qualification that changes the meaning. The reviewer corrects the document, records recurring problems and approves the final version through the client's normal process.

Sending, filing and escalation should remain separate steps. The approved draft can move into the established document-control route after review. It shouldn't reach a distribution list, overwrite a live register or trigger a reminder simply because the first draft has been generated.

Trial one recurring workflow

Choose a task the team already completes often enough to compare. A monthly report built from approved updates is more useful than a broad demonstration across every project file. Record the current preparation and checking effort, then run the proposed process over an agreed reporting cycle and note every correction, missing source and manual step.

Keep the workflow only if the draft reduces avoidable assembly work and the review remains clear. If checking takes as long as writing, source references are unreliable or the permissions are disproportionate, stop or narrow the trial. That result is useful too: it prevents an awkward process becoming part of normal delivery.

Frequently Asked Questions

Which project-office workflow should an AI trial start with?

Choose one repeatable task with approved source material and a clear reviewer, such as preparing a draft action log from meeting notes or a draft status report from workstream updates.

What should remain outside the AI step?

Approval, escalation, sending and filing should remain with named people. The trial should also exclude any source material or system access that isn't required for the agreed draft.

Talk to us about project-office support