Finance Intelligence

Date: 31 March 2026  |  By: Timothy, CPA  |  Managing Director, Professional Financelink (PFL) I get asked some version of this question regularly: "We can't afford a full-time CFO — should we look at outsourced finance or a virtual CFO?" It's a good question, and the honest answer is that most people asking it aren't entirely sure what either term actually means — because in the Australian market, the two are used almost interchangeably, and sometimes the same service gets called different things by different providers. You'll also hear "fractional CFO" used interchangeably with "virtual CFO" — both describe the same engagement model (a senior finance professional working part-time across multiple clients), with "virtual" emphasising remote delivery and "fractional" emphasising the part-time structure. For Australian SMEs and NFPs, the terms mean the same thing in practice. ...

Date: 31 March 2026  |  By: Timothy, CPA  |  Managing Director, Professional Financelink (PFL) I've been in finance for nearly 20 years. When I started, the senior finance leader's job was reasonably well-defined: produce accurate financial reports, manage the budget process, ensure compliance, and keep the board informed. Strategy was largely someone else's domain. Finance was the scoreboard, not the game plan. That model is gone. In 2026, the finance leader who focuses primarily on reporting and compliance — while leaving technology decisions, data strategy, and business partnership to others — is becoming a liability rather than an asset. I don't say that to be harsh. I say it because the evidence is clear, and because understanding the shift is the first step to navigating it well. This post is for CFOs, Finance Directors, Heads of Finance, and senior finance managers in Australian organisations — particularly th...

Date: 30 March 2026  |  By: Timothy, CPA  |  Managing Director, Professional Financelink (PFL) NDIS payroll is among the most complex payroll environments in Australia. You're working with the SCHADS Award across multiple worker classifications, split shifts, sleepover allowances, broken shift provisions, irregular hours, and in many cases, multiple sites. The margin for error is genuinely high — and the consequences of getting it wrong have never been more serious. With the wage theft criminal framework active since January 2025, the ATO's $1 billion enforcement boost running through to 2029, and Payday Super landing on 1 July 2026, the compliance environment for NDIS providers right now is about as demanding as it's ever been. Here are the five payroll mistakes I see most consistently in the NDIS provider space — the ones that show up repeatedly in audits, FWO reviews, and internal payroll assessments. ⚠️ Not ye...

Date: 30 March 2026  |  By: Timothy, CPA  |  Managing Director, Professional Financelink (PFL) A note on data and confidentiality: The observations in this post are based on my personal use of these tools across various finance contexts over the past 12 months. In all cases where I've used AI tools with real financial data, I've either tested with anonymised data, synthetic test data, or information already in the public domain, and utilised temporary chats where possible so the data doesn't get saved anywhere. No confidential information has been used in any testing. If you're using AI tools in a professional finance context, I'd strongly recommend making this a standing practice in your own workflow — it's both good professional ethics and sensible risk management. One more thing worth flagging: if you're using any AI tool with work-related data, make sure you've either subscribed to an enterprise plan or disabled ...

Date: 29 March 2026  |  By: Timothy, CPA  |  Managing Director, Professional Financelink (PFL) A note on data and confidentiality: The observations in this post are based on my personal use of these tools across various finance contexts over the past 12 months. In all cases where I've used AI tools with real financial data, I've either tested with anonymised data, synthetic test data, or information already in the public domain, and utilised temporary chats where possible so the data doesn't get saved anywhere. No confidential information has been used in any testing. If you're using AI tools in a professional finance context, I'd strongly recommend making this a standing practice in your own workflow — it's both good professional ethics and sensible risk management. One more thing worth flagging: if you're using any AI tool with work-related data, make sure you've either subscribed to an enterprise plan or disabled ...