Objective: build a financial reasoning system that catches its own mistakes and flags its own exposure before a lender or investor does, not a repository of last month's numbers.
A monthly review that re-argues the same points from scratch has no memory. I built one that logs every claim, forces a prediction before the actuals are pulled, and never lets a wrong number quietly disappear.
Built inside a $5M–$10M operating business I co-own and help run, across five revenue segments closing monthly with an outsourced bookkeeper. A reasoning layer on top of Claude and Notion: standing context, a ledger of claims that have to be tested rather than re-argued, and a repeatable review procedure, adapted from a published CFO-brain framework and rescaled to the company's real close cadence.
Structure adapted from a published framework for building a CFO brain with Claude and Notion, then rescaled from that piece's daily cadence to this company's actual monthly close with its outsourced bookkeeper.
The single rule that makes the ledger more than a note-taking habit. Before the closed month's numbers get opened, the system writes down what's expected, by segment and direction, based on what's already logged. Then the actuals confirm it or refute it. A note can't be wrong. A prediction can.
The same discipline runs on smaller claims too. A margin figure gets logged, then challenged the next cycle against fresher data, and either holds or gets marked withdrawn, in view, with the reason attached.
The same three constraints that make Alice's version of this durable, applied here to financial claims instead of relationship data.
No dollar figures here, by design, since this is a live operating business. The shape of each catch is the point.
Each of these is the system catching its own error and showing the correction, not a feature that made the numbers look better.
Five revenue segments, a monthly close with an outsourced bookkeeper, a founder-operator and a board of investors who see the output. The system runs on the same close cadence the business actually has, not a cadence built for a demo.
Companies outgrow their decision systems before they outgrow their markets.