How to review work an AI prepared, without redoing it
29 October 2026 · 2 min read · Keyrole team
The fastest way to lose the time an AI saves is to review its work the way you would re-perform it. If a reviewer has to read every line and re-check every figure, the AI has only moved the work from a junior to a senior. Good review of AI-prepared work looks different, and it can be designed.
1. Start with what needs judgement, not with page one
Most of a well-prepared deliverable is routine: totals that tie, figures copied from source, the same structure as last time. What deserves a reviewer's attention is usually a short list: something that changed sharply, something the inputs do not explain, an assumption, a source that does not quite match. In Keyrole each job opens with a Check these list of exactly those points, each linked to the cell or passage, and the same notes are written into the file itself. What the platform has already confirmed is shown as one line, so nobody re-reads a log.
2. Every figure should carry its source
A reviewer should never have to hunt for where a number came from. Ask for every figure to point to the page or row it was taken from, and for quotes to be checked word for word against the document. When a source cannot be found, the figure should be flagged, not left looking confident. Spot-checking then takes seconds per figure.
3. Make assumptions explicit and tick them
Preparers assume things all the time: that a statement is final, that a payment belongs to a period, that a client's practice has not changed. Hidden assumptions are where errors live. Ask for them to be listed, and decide each one: accept it or send the work back. Better still, the important questions should be asked before the work starts, so fewer assumptions are needed at all.
4. Let risk set the depth of review
Not every job deserves the same review. Depth should follow what the checks found, not how confident the preparer felt. A job where every figure traced and nothing changed can be read with focus; a job with failed checks or large movements needs every sign-off step, and approving it should require a reason.
5. Review per workpaper, not per job
For larger jobs, sign-off works best at the level of each workpaper, with the preparer's and reviewer's initials on each. If a workpaper changes after it was signed, its sign-off should go stale automatically, so nobody approves something they did not see. A single workpaper can be sent back without reopening the whole job.
6. Feed corrections back
A correction that has to be made every month is a cost that never ends. Review notes should go back to the AI employee, which revises the work and remembers the correction for that client or service. Over time, the share of work approved first time is the honest measure of whether review is getting lighter.
Done this way, review stays where it belongs: with a qualified person, focused on judgement. See how Keyrole builds this in on the home page.