If you run a finance team at a fast-growing Australian tech company, you already know the pattern. The first week of every month disappears into bank reconciliations. The second week is a blur of intercompany journal entries and revenue schedule updates. By the time the board pack lands, the numbers are already three weeks stale — and your CFO is being asked questions about cash runway, ARR, and burn that the previous month's data simply can't answer.
You're not alone. The close has quietly become the single biggest constraint on finance team productivity. Not because finance teams are slow, but because legacy systems — QuickBooks, Xero, MYOB at the entry level; NetSuite and Sage Intacct in the mid-market — were designed for a different era. They assume reconciliation is a manual, end-of-period activity. They assume revenue recognition fits neatly into pre-defined models. They assume your team has time to chase exceptions, build flux commentary in spreadsheets, and consolidate multiple entities by exporting to Excel.
For a SaaS company scaling from Series A to Series C, those assumptions break down fast.
Campfire.ai is built from the ground up around AI rather than retrofitted with a chatbot bolted to legacy architecture. Its proprietary model, the Large Accounting Model (L.A.M.), was trained exclusively on accounting data. Ember AI, the platform's accounting assistant, drafts journal entries, performs flux analysis, and answers natural-language questions against your live general ledger.
Campfire publishes the following figures from their own customer data:
These are Campfire's own published figures, drawn from their customer case studies. We cite them because they're directionally consistent with what we see in the field — but every implementation is different, and your numbers will depend on your starting point, your data hygiene, and how your team adopts the new workflows. For a grounded view of what AI does and does not do here, see what AI actually does inside an accounting system.
The case studies on Campfire's site cover a range of company stages and pain points:
TwelveLabs, a multimodal AI company operating across the US and Korea, cut close time by 50% while running global financial operations with a three-person team. Brian Lese, Head of Finance, described Campfire as "a major unlock in terms of efficiency".
Suger, a Y Combinator-backed marketplace company, migrated from QuickBooks and reduced time spent on accounting tasks substantially. CEO Jon Yoo noted the migration itself was painless, and the team now generates investor reporting weekly instead of monthly.
Coder, the AI development infrastructure platform, saves more than 10 hours per month on revenue reporting and invoicing. Controller Daniel deCoen described their previous workflow bluntly: "Before Campfire, our team was living in spreadsheets."
The common thread isn't the company stage or vertical. It's that finance leaders stopped accepting that the close had to take three weeks.
Here's the question we hear most from Australian CFOs evaluating Campfire: "If the product is genuinely self-implementable, why would I engage Cynder?"
First, your finance team has a day job. Campfire's self-service implementation works — but it works because finance leaders were willing to invest the personal time to drive it. If your VP of Finance is also closing the current month, managing your audit, and preparing for a Series B, "implement the new ERP yourself" is functionally a third full-time job.
Second, ANZ-specific complexity isn't trivial. Campfire is purpose-built for global multi-entity, multi-currency operations — but configuring it correctly for AASB-aligned reporting, Australian GST and BAS workflows, and the realities of an ANZ-headquartered group takes local expertise a US-based support team can't replicate.
Third, migration risk is the silent killer. The fear isn't slow software — it's a botched cutover that breaks the audit trail, corrupts opening balances, or causes you to miss a board-deadline close. The Campfire product is excellent. The migration plan is what determines whether month one goes smoothly.
Plan the cutover before touching the software. We map your current chart of accounts, entity structure, integration footprint, and close calendar before configuration starts.
Migrate with full historical fidelity. We don't take shortcuts on opening balances or trial balances.
Configure for your billing model, not a generic template. Campfire handles subscription, usage-based, milestone, and hybrid models — but configuring revenue recognition correctly for your contracts is where most self-implementations stall.
Train your team to own it. Our engagements end with your team independently operating the platform. Ongoing support is available, but it's not the goal.
Most Cynder-led Campfire implementations go live in 4–6 weeks, with the first full close completed in the first month post-cutover.
If you're still spending the first half of every month chasing reconciliations or waiting on consolidated financials, you already know the cost. Get in touch — most discovery conversations take 30 minutes.