Finance · runs on the control layer

CortexFin

Where is the money, and is it under control — answered daily, not monthly.

Finance runs weeks behind the business it describes. CortexFin moves the close from a monthly excavation to a daily condition, flags departures the day they appear, and keeps a ledger on the AI enablement itself — so your own AI ROI is a record, not a claim.

You are here. One of four function modules on the control layer. Hover another to preview it.

A Tuesday today

The close is archaeology — by the time you learn what March meant, April is half spent. Spend is invisible until the card statement lands. The margin had been sliding for a quarter; the data knew, nobody was looking.

The same Tuesday, enabled

Matching and tie-outs ran overnight, as they do every night. Cash position is current at a glance. The duplicate invoice flagged itself this morning, reason stated. The forecast recalculated from how receivables actually behave.

Capabilities

Before and after, side by side.

The close that already happened FN-W1 · W2 · A2 · R2
BeforeWeeks of matching transactions, chasing receipts, reconciling accounts — a monthly archaeology dig that delivers old news.
AfterFeeds read daily; transactions match to invoices and purchase orders continuously; accounts reconcile against feeds every day. Month-end becomes review of work already done — at any day's end, unreconciled items are enumerated and aging, not unknown.
Books that post themselves — inside your lines FN-D1 · G1 · G2 · G3 · A1 · R1
BeforeEvery entry is hand-keyed, or worse — automated by rules nobody can read, in a tool only the consultant understands.
AfterRoutine entries inside thresholds you set post on their own, each traceable to its authorising rule; ambiguous items queue with a suggested code and the reason, posting only on bookkeeper confirmation — a gate that never lifts. Every rule reads in plain language; the audit trail is append-only and auditor-ready.
Flagged the day it appears FN-W3 · D2 · G4
BeforeThe duplicate invoice, the vendor price that crept, the margin that slipped — discovered at quarter-end, when the fix is expensive.
AfterThe system learns your business's own financial patterns and flags departures larger than normal swing — in plain language, evidence attached, sensitivity tuned by your bookkeeper — the day they appear, while the fix is cheap.
Cash you can see ahead FN-W4 · D3 · R3
BeforeThe cash forecast is hope arranged in columns — built on when customers are supposed to pay, not when they do.
AfterWho pays when — actually — is tracked continuously, and the rolling forecast derives from that observed behavior, refreshing as behavior changes. Forecasts are preserved against actuals, so the forecast's own accuracy is measured, not asserted.
The month, explained FN-D4 · A3
BeforeThe monthly statements arrive as totals. What happened and why is a meeting, an argument, and a guess.
AfterA plain-language monthly package drafts itself for owner and accountant — what happened, why, what to watch — naming drivers, not just totals, every figure traceable, delivered before the meeting it serves.
AI that proves itself FN-W5 · D5 · R4
BeforeAI spend scatters across cards and subscriptions; the return is a feeling defended in meetings.
AfterEvery AI-related charge is identified across feeds and held in one ledger against the measurable return each enabled function reports — per function, longitudinal. The question every owner should ask about AI is answered by the platform's own books.
You steer the business with last week's picture instead of last month's — and the enablement itself appears on its own scoreboard.
Begin

Run the business on last week's picture, not last month's.

The first step is a measurement, not a pitch — your baseline captured before any target is set.