Most of it asks to be trusted. Paisa is built so that trust is not the mechanism — the books check themselves, and the AI cannot state a figure no engine produced.
Not values on a careers page. Each of these is a constraint the codebase physically holds, and each one closed off a class of bug that finance software is famous for.
The model chooses which question to ask. Deterministic engines answer it. A verifier checks every figure in the narration against the tool results and rejects the answer if one came from anywhere else — including a correct figure the model computed itself. There is no payment tool, so the assistant cannot move money: not disabled by a flag, never written.
Balances are projections over an append-only journal. The ledger cannot disagree with the journal because there is only one of them. The same idea, one level up, is how persistence works: the log records what was asked for, and replaying it rebuilds the state — so there is no separate load path that could drift from the apply path.
An unbalanced entry is rejected, not flagged. A missing FX rate throws rather than carrying a stale one forward. A bank line the rules cannot categorise waits for a person. A statement is not produced when the trial balance is out. When there is not enough history to compute a runway honestly, Paisa says so instead of estimating.
The ledger, revenue recognition, AR, AP, schedules, bank reconciliation, multi-entity consolidation, close management, continuous agents, the verified assistant, and durable persistence. All tested.
Inventory, manufacturing, order management, procurement, fixed-asset revaluation, and jurisdictions beyond India for local tax. Named integrations are roadmap; the ingestion layer they plug into is done.
No customers, no testimonials, no G2 rating, no SOC report. When those exist they will appear here; until then this page says they do not.
The console and the ledger are open — no sign-up, nothing scripted.