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Ship AI code.Prove the business still works.
Check payments, refunds, access, payouts, and settlement after every fast change.Find business-state drift before customers or finance do.
These failures usually arrive late.
The system looks healthy. Days later, finance, ops, or customers find rows that should agree no longer do.
Payment succeeded. Access stayed locked.
The API returned success, but the customer found the entitlement gap before the system did.
Each export looked fine until the rows had to agree.
Orders, fees, refunds, payouts, and settlement records only failed when finance closed the books.
No 500s, but production state still needed repair.
The deploy passed review and tests; the real issue appeared while fixing business rows by hand.
Export rows. Confirm invariants. Close drift.
Export the rows, let the agent propose checks, and keep only the rules a human owner approves.
Payments, refunds, orders, entitlements, settlements.
Raw tables become business-state views with row references.
AI suggests invariants from historical patterns and exceptions.
Nothing executes until a human confirms the business meaning.
Every incident carries evidence, owner, decision, and closure.
Captured payment must reconcile to settlement.
captured_amount should equal settlement_net plus platform_fee within the accepted tolerance.
If money, access, or entitlements move through your system.
Payment, refund, access, and settlement changes leave trails across tables. DriftLedger checks whether those trails still agree.
Install agent CLIFinance and payment ops
Catch the drift before month-end close or before a customer files a dispute.
Engineering after a change
Know whether your last deploy or AI-generated PR silently shifted a business state.
AI suggests, you decide
The tool proposes candidate rules. Nothing runs until a human says it makes sense.
Every signal has a paper trail
When something breaks, you see exactly which rows, which rule, and who owns the fix.