The error that was about to go out under your name.
What this catches before a partner, client or lender ever sees the draft: stop the issue · protect the sign-off · send cleaner work. Every figure is [SAMPLE]; the redraft never authors a number, and one example is a clean pass on purpose — a tool that only ever screams "disaster" doesn't get trusted.
A loss, reported as a profit. Caught before it reached the client.
Flagged by Superuser in 9 seconds, before partner review. A code check — not an AI opinion. The kind of mistake a skim misses and a client never forgets.
[SAMPLE] illustration. Superuser supports review; it doesn't replace partner sign-off.
Stop the issue
Catch what a skim misses — including the error only code can prove.
Protect the sign-off
The wrong sentence that never reaches the client, the board or the lender — caught before it carries your name.
You almost told a client they were safe. They weren't.
Caught before send. False comfort on a covenant is the kind of line that becomes a complaint — or a claim. Code flagged the ratio against the limit in seconds.
[SAMPLE] illustration. Superuser supports review; it doesn't replace partner sign-off.
Send cleaner work to senior review
Hand your partner work that's already clean — precise, caveated wording with the evidence behind it.
"Revenue rose 20% month-on-month (£100k → £120k). However, EBITDA was a loss of £18,400, and gross margin fell from 40% to 37.5% — so the period did not return to profit. The drivers of the revenue increase are not evidenced in the data supplied."
Same product, anywhere a claim is checked against a source.
In finance, code recomputes the math. Outside finance, the claim is checked against a source you supplied — a contract clause, a cited figure, a citation, signed terms. Still a hard referent, never AI grading AI. Every figure is [SAMPLE].
Stop the issue
The wrong notice period, the citation that isn't real — caught against the source you supplied.
Advising on the wrong notice period is negligence territory. The clause was checked against the source document you supplied — not paraphrased from memory.
Checked against your source — not an AI opinionThe study you cited doesn't say that.
The most common AI failure: a confident citation that isn't real. Superuser checks every cited claim against the sources you actually provided — and flags the ones it can't find.
[SAMPLE] illustration. Superuser verifies claims against supplied sources; it doesn't certify external facts.
Save my job
The made-up number in a board deck, the overstated commitment in a proposal — caught before it carries your name.
You almost put a made-up number in front of the board.
A wrong stat under your name in a client deck is the kind of thing that follows you. The figure was checked against the source the slide itself cites.
[SAMPLE] illustration. Superuser checks claims against the sources you supply; it doesn't validate the source itself.
Two numbers, two contractual commitments — both overstated. Checked against the signed terms you uploaded, not the AI's memory of the deal.
Checked against your signed terms — not an AI opinionLook smarter
Hand over work that's already clean — and know when you've nailed it.
Provable → Flaggable → Judgment.
Every example above is provable — checked against a source you supplied, not AI grading AI. We lead with that, and label opinion as opinion.
Cross-checked against a source you supplied — a contract clause, a cited figure, a citation, signed terms. The moat: every example above sits here.
Not provably wrong, but worth a look — a missing caveat, an unsupported “driven by”, an assumption stated as fact.
Tone, style, persuasiveness. Useful, but an AI opinion — clearly labelled as such, never dressed up as a proven catch.
Every figure on this page is [SAMPLE] until a real pilot produces real ones. Covenant and loss/profit framing names real professional stakes, not manufactured panic. Superuser supports review — it doesn't replace partner sign-off.