AI is not the first step. It is the third. Get the data right, automate the ground level, then put AI on top of numbers you can trust. Done in that order, it works. Done backwards, it makes the wrong numbers faster.
Scoped through the Finance Inspection, delivered personally, and handed over so it keeps running when the engagement ends.
Each step links to the service that does it. The Inspection decides where a business actually is on this path, so nothing is bought out of order.
If the ledger is wrong, AI is wrong faster. The Inspection goes through the records and says what is broken, what it costs, and what to fix first.
The Finance Inspection →Invoices in and invoices out, captured by the system rather than retyped by a person. AP and AR running inside the ERP before anything clever is added.
ERP and accounting systems →Dashboards that stay current. A brief each morning. Models that answer the question the bank will ask. Agents where they fit, and nowhere else.
This page →When the data cannot leave the building, the business runs its own AI on its own hardware. That is the enterprise page.
Enterprise Private AI →Most advice about AI comes from people who use it at one level. This practice works at three, every day, in real finance work.
Questions, drafting, analysis against documents. Where most people start, and where most people stop.
The AI works inside the files and systems, with the person: a daily brief assembled each morning, reconciliations checked, packs prepared while a human reads them.
Dashboards, financial models and automations written, tested and handed over as working software. Not a demo. A tool the business keeps.
No tool names on this page, on purpose. Tools change every quarter. The levels do not, and the discipline of using all three is the skill being sold.
The dashboard and model panels are illustrative renders. The cash flow sheet is from a live model, with the product names withheld. Client work stays confidential; the record on the home page says what stands behind it.
Not a classroom. At the desk, in the live work: month-end run with the person who owns it, the morning brief built together, the first model reviewed line by line. The skills stay when the engagement ends.
Done when: the team runs the workflow without me in the room.
A dashboard, a reporting pack, a financial model, an automation. Scoped off the Inspection, built to run on the systems the business already owns, documented, and handed over with the walkthrough to match.
Done when: it runs on your systems and your people own it.
One function taken end to end: the morning brief, the debtor follow-up pack, the monthly close checklist. Built, run together for a full cycle, then handed off with the file to repeat it.
Done when: the function runs a full cycle without its builder.
This page, or the enterprise page. This page is for using AI well on the systems you already have, at R5 million to R50 million turnover. The enterprise page is for owning the AI itself: private models running inside your own walls, at group scale. If the data cannot leave the building, start there.
Priced like everything else here. A conversation that costs nothing, the Inspection at a fixed price, then a fixed scope with the published day rate behind it. See what it costs.
