My AI cross-checks three money systems against each other
Money flows through three places in my business: Stripe takes the payment, the bank receives the deposit, and QuickBooks records it. If those three do not agree, something is wrong. Laura reconciles all three against each other, so a mismatch gets caught instead of ignored.
Three sources of truth that have to tie
A single payment leaves three footprints. Stripe shows the charge and the fee. The bank shows the payout that actually landed, which is smaller because of the fee. The books should show both correctly. Most small businesses only ever look at one of these, usually whichever is easiest, and assume the others match.
Laura does not assume. She lines up the Stripe payouts against the bank entries and against the books, and when a payout does not have a matching deposit or a deposit does not have a matching record, she flags it. That three way check is where quiet errors hide.
Reconciliation is a continuous job, not a crisis
Reconciliation is one of those things people do once a year in a panic. Done continuously by an agent, it stops being an event. Discrepancies surface while they are still small and easy to explain, instead of a year later when nobody remembers the transaction.
The deposit in your bank is not your revenue, and the number in one system is not proof. Checking them against each other is the only way to know, and it is exactly the kind of tireless cross referencing a machine should own.
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