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Recording who checked AI work before it was used

Reviewed on November 5, 2026

Write down who read the AI output, when, and what they did about it. A name, a date and a result such as "approved", "changed" or "rejected" is enough to show a person looked.

Why a name matters

"Reviewed by a human" is easy to say and hard to prove. A name and a date make it something you can check.

The reason to bother is simple. Output can be false, and the OAIC, Australia's privacy regulator, says as much.1 A person reading it is one safeguard you can use. A record shows the safeguard ran.

That regulator also wants businesses to think about building human oversight into their processes.1 Recording the check makes oversight part of the routine, not just a good intention.

What a sign-off note holds

Keep it light. These fields cover most of what you'd want later.

  • Who checked it, by name, not "the team".
  • The date.
  • What they checked against, such as a price list, a policy, the original document or their own knowledge.
  • The result: approved as it was, edited, or thrown out.
  • What they changed, in a few words, if anything.

The "checked against" field does most of the work. "Read it" is a weak check. "Compared the prices to the current list" tells a reader what the check really was.

A simple sign-off flowAI produces a draftA named person reads itThey fix or reject itThey log their name and the dateThe work is sent
The checker's name goes on the record before the work leaves the building.

Put these in the "Checked by" and "Notes" columns of your AI use log. Or use the job record you already keep, like a ticket, a quote file or an email thread.

Where to place the sign-off

Put the record where the work lives. If a quote goes through a quoting tool, add the note there. If an email is drafted with AI and sent from a shared inbox, a short internal note on the thread will do.

Avoid a separate system that people must remember to visit. Anything off to the side gets skipped when it's busy.

Not every use needs the same check

Work that goes to a customer, or that affects a person, deserves a named check. Private brainstorming usually doesn't. Decide the line in advance and write it down, so staff don't make it up on the spot.

Decisions that seriously affect a person's rights get special mention from the OAIC. It calls AI use there likely a high privacy risk activity.1 If your tools touch decisions like that, ask your country's regulator. This site can't say what your duties are.

Matching the check to the stakesDecide who the work affectsPick the level of checkRecord it to match
The more a piece of work affects someone, the firmer the record.

Here's a rough scale you might use.

Kind of use Suggested record
Private brainstorming Nothing, or a line in the log.
Internal document, low stakes Log entry with the user's name.
Anything sent outside the business Named checker, date, what they checked against.
Anything affecting a person's pay, hiring, credit or service Named checker, a second person if you can, and a saved copy.

It's a starting suggestion, not a rule. Adjust it to your own business.

Make the record hard to quietly change

A sign-off only counts if it stays as written. An audit trail, in general, is a set of records giving documentary evidence of the sequence of activities that touched an operation or event.2 Treat your notes the same way. Don't overwrite an old note. Add a new line with the date if something changes.

Don't let people sign for each other either. Each checker adds their own name. If someone is away, the work waits, or a named stand-in does the check.

Found a mistake later? Add that to the record too. A mistake with a clear history is easier to fix than one nobody can trace.

Reference list

  1. Guidance on privacy and the use of commercially available AI products, Office of the Australian Information Commissioner (OAIC)
  2. Audit trail, Wikipedia