From messy books to a board-ready pack — and everything after it.
Most "AI for finance" products point a model at your existing exports and hope for the best. We don't start there. We start by looking at your actual data, in your actual systems, with people who've closed hundreds of books. Here's the order it happens in.
The end-to-end flow
- 01
Discovery — we look at your actual data, not a login
Before anything is built, our CFOs and accountants review how your finance function actually works today: your chart of accounts, your reporting structure, the KPIs your board argues about, and the systems the numbers currently live in. This is a real conversation, not a sign-up form.
- 02
We clean and organise it, by hand — your Data Vault
This is the step most vendors skip. Our team works directly inside your systems — organising, reconciling, and correcting your data line by line. Errors, gaps, duplicate entries, and misclassifications get caught here, by people who understand Australian accounting, not by a connector that assumes your export is already clean. The result is a single governed, curated data asset scoped to your organisation — your Data Vault — that everything else is built on.
- 03
Your management report, generated — board-ready, from data that's actually correct
Once your Data Vault exists, Becide generates your monthly management pack directly from it: P&L, variance to budget, segment breakdowns, and a written executive summary, laid out in the format your board already expects. Because the underlying data was cleaned by hand first, the speed gain is real rather than a shortcut — what used to take the better part of a week comes back in minutes.
- 04
Everything that comes after the report — Ask Assistant and voice agents
The pack goes out and the questions start — Ask Assistant answers them in plain language, citing the exact figure behind every answer, in the same thread. Separately, the recurring manual work your team doesn't have time for — AR follow-ups, vendor confirmations, audit chases, expense queries — gets handed to a voice agent built for that specific job, at the cadence your credit controller already uses. Every call discloses it's AI and hands off to a person when it needs to.
How long does this actually take?
Typical path: a discovery conversation, then your Data Vault is built over the following weeks as our team works through your systems, then your first generated management report and live Ask Assistant access. Ongoing, the report regenerates on your reporting cadence and the assistant/agents run continuously in between.
A real conversation about your data, not a product demo.