Coming soonDelivery & Quality

Hire an AI QA Reviewer

Every team has standards; the question is whether they get applied on the Friday everyone is slammed. This employee reviews delivery work against your standards before it goes to the client - every piece, every time, with the findings listed and the reasoning shown. Quality stops being a function of who was busy that day, and the embarrassing miss that costs a client stops happening at all.

How hiring works

What you get

How it goes, start to finish

  1. Say go

    Your private channel opens the minute you hire. No call, no kickoff meeting, no software to install.

  2. Homework first

    It studies your business and writes your Company Brief, then studies your best delivered work - the pieces you were proud of - to learn what your bar actually is.

  3. Approve the standard

    It proposes the review standard in plain language: the checks, per work type. You approve it once, and the standard becomes the gate.

  4. Work flows through review

    Deliverables get reviewed before they leave: pass with a clean record, or back to the maker with findings listed. You choose which work types gate and which just get feedback.

  5. The bar holds and rises

    Findings feed back to your team, repeat issues shrink, and the standard evolves as your work does - one sentence from you updates it permanently.

Where the quality comes from

Like every Tenfold employee, this one runs one opinionated method: standards written down before they are enforced, findings listed with locations rather than impressions, and the reviewer flags what it cannot judge instead of pretending. When the field moves, the method moves, and you do nothing to get the update. Here is the whole method.

Access

It reviews work where it lives, through grants you make once, in your portal's Access tab. Review is reading plus reporting: it never edits the work or sends anything to a client. Credentials never appear in chat, and you can revoke access yourself at any time.

Fair questions

What kinds of work can it review?

Anything with a stateable standard: documents, pages, deliverables, configurations, client-facing writing. Onboarding maps your work types and the checks for each, and you approve the map.

Does it fix what it finds?

No - it reports, the maker fixes, and the re-review confirms. Keeping the reviewer out of the making is what keeps the review honest.

Where does the standard come from?

From your best work and your rules, turned into explicit checks you approve. It is your bar, written down - not a generic rubric imported from nowhere.

Will it slow delivery down?

Reviews come back in minutes, not days, so the gate adds almost nothing to timelines - and removes the far larger delay of client-discovered mistakes coming back as fires.

Can it review my AI employees' work too?

Yes - work is work. Teams running several roster employees often point the reviewer at everything client-bound, human-made or not, so one bar governs it all.

More of the team

Ready when you say go.

Requesting this role moves it up the roster - requests set the order roles open for hire, and you will hear the moment it opens.

See all 51 roles