AI-native
Finance Automation
for Enterprises.

Modern finance stacks span ledgers, operational systems, HR & payroll, spend, and data warehouses. Each holds a piece of the truth. None of them holds the entire truth.

The Lake connects to your stack and pulls every record into a unified canonical finance model: entities, accounts, transactions, entries, counterparties, obligations. Six primitives. Everything else is derived from this data lake.

Bitemporal storage means every record has two time axes - when the event occurred and when we learned about it.

The unification process has in-built integrity checks and balances that fire insights and answer queries - resolve gaps before they enter the lake. You can ask “what did Q3 close look like on October 15th?” and get the exact answer, even if entries have been adjusted since.

The standard close runs 5–15 days after month-end. During that window, the books are indeterminate and last month's actuals don't exist yet. This month's run-rate is a guess, and decisions get made on stale numbers, then gets re-justified once the close finishes.

The Loop changes this model - reconciliation runs continuously, and verification runs in parallel. The ledger is always live, and close-day becomes a review - confirming what the system already determined, not reconstructing it from scratch.

What changes in production: median close time drops from 12 days to just 2 days. FTE hours on close drop ~68%. Journal adjustments drop ~84%.

Most ERPs ship with rule engines that catch the obvious only, - duplicate invoice numbers, mismatched amounts, accounts that don't exist. They are necessary but not enough. The errors that matter are the ones that pass the rules.

A vendor invoice that matches the PO exactly but the goods never arrived, A duplicate payment to a vendor that changed its name slightly, a spike in a small G&A line that doesn't trip a threshold but doesn't match historical pattern.

These are not rule violations. They are pattern violations. The Sentinel watches for them. Median false-positive rate is 3.1%, compared to rule-based systems running at 18–25% - the difference between "actionable" and "ignored."

Every decision moves the P&L - a new hire, a vendor renewal, a sales discount, a contract clause that lengthens payment terms by thirty days. Almost none of them are evaluated against that consequence at the moment they're decided.

The Nudge inverts the order. Finance gets there first. When a decision is being made - in the ATS, the CRM, the procurement tool, the contract management system - the Nudge fires. It shows the impact. It surfaces the alternatives. It routes for approval if needed.

None of this requires the operator to learn finance. The Nudge speaks their language: this hire pushes Q3 spend 11% over plan. Not variance of $80K against budget account 6210. The math is the same. The translation is what's new.