About

About Finance Intelligence

Real-world finance, payroll, and AI automation — from a CPA who actually builds the systems.

CPA — Certified Practising Accountant 20+ Years Finance Leadership NFP · NDIS · Aged Care · Childcare · SME Managing Director, PFL

Who's Behind This Blog

I'm Timothy — a CPA with over twenty years of finance leadership experience across the NFP, NDIS, aged care, childcare, and SME sectors in Australia.

In my primary role, I lead the finance function for a large national not-for-profit — managing financial reporting, payroll compliance, process improvement, and the governance frameworks that keep complex, multi-site organisations running. I've worked across large NDIS, childcare, aged care, NFP and commercial environments, often simultaneously.

I also run Professional Financelink (PFL) — an outsourced finance and AI automation practice that helps Australian SMEs and NDIS providers build senior-level finance capability without the full-time executive cost. PFL's work spans high-level financial consulting, management reporting, process improvement, and custom AI-powered automation tools.

What This Blog Is

Finance Intelligence is my personal professional space — separate from PFL's corporate work — where I share what I'm actually doing, building, and learning in the intersection of finance operations and AI automation.

The content here isn't polished thought leadership or repackaged press releases. It's practical, first-hand experience: how specific compliance changes are hitting Australian finance teams in practice, what AI tools actually do and don't do in a real finance workflow, and where the automation opportunity genuinely is versus where it's been overhyped.

I write in my own voice, from real experience, for finance professionals who have enough to manage without wading through generic advice.

What I Cover

AI automation in finance Payroll compliance (NDIS, ECEC, Aged Care) Excel & vibe coding for finance teams Month-end efficiency & reporting NDIS funding & finance frameworks Childcare sector finance Aged care financial sustainability Superannuation compliance NFP financial governance AI tools honest reviews

Sectors I cover regularly: NFP, NDIS, Aged Care, Childcare (ECEC), SME, and Retail/Hospitality where finance fundamentals apply across industries.

👥 Who This Blog Is For

This blog is written for Australian finance professionals, CFOs, Heads of Finance, Finance Managers, and business operators who are:

  • Working through the growing compliance complexity of sectors like NDIS, aged care, and childcare
  • Trying to figure out where AI genuinely fits into their finance workflow — and where it doesn't
  • Leading small finance teams that punch above their weight, and looking for practical tools and frameworks
  • Building or improving finance operations in organisations that can't afford to get it wrong

My Approach to Content

Everything published here reflects either direct personal experience or research into publicly available Australian regulatory and industry data. Where I use composite scenarios to protect confidentiality, I say so clearly. Where I express opinions, they're mine — not my employer's, not PFL's official position.

On AI: I use Claude and Gemini extensively in my own work and have built custom automation tools for finance applications. I write about AI tools from the perspective of someone who builds with them, not someone who demos them. That means honest assessments — including where they fall short, what governance considerations matter, and why I keep certain tasks firmly in Excel.

On compliance: I cite primary sources (ATO, Fair Work, NDIS Commission, ACECQA, Department of Education) and flag when regulatory details should be verified independently before acting. Finance Intelligence content is general commentary, not professional advice.

Looking for senior finance consulting, management reporting, or AI automation support for your SME or NDIS operation?

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Disclosure: Finance Intelligence is a personal professional blog operated by Timothy, CPA. It is independent from Professional Financelink (PFL) and from any employer. Views and commentary expressed here are those of the author in a personal capacity and do not constitute financial, legal, or tax advice. Always seek independent professional advice before acting on any information published here.

Popular posts from this blog

Google Gemma 4 Just Launched — And It Might Solve Finance's Biggest AI Privacy Problem

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Date: 16 April 2026  |  By: Timothy, CPA — Managing Director, Professional Financelink (PFL) ⚠️ AI privacy notice: This post discusses the use of AI tools for finance tasks. When using any AI tool — including local models described here — never input identifiable participant data, staff personal details, board-in-confidence material, or any information subject to confidentiality obligations without understanding exactly where that data goes and how it is handled. The boundary matters, regardless of which tool you use. There's a tension that most finance professionals who use AI haven't fully resolved yet. On one hand, AI tools are genuinely useful for finance work — drafting, summarising, reviewing contracts, analysing data. On the other hand, finance sits at the centre of an organisation's most sensitive information: payroll data, board papers, funding agreements, audit findings, legal correspondence. Putting that inform...
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Why NFP Boards Are Finally Talking About AI — And What the Finance Team Should Do Before They Ask

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Date: 13 April 2026  |  By: Timothy, CPA — Managing Director, Professional Financelink (PFL) Note: The scenarios in this post are based on real experiences — mine and those shared by colleagues across the NFP sector. Details have been modified slightly to protect confidentiality, and I've used a first-person perspective throughout for readability. It's happening more often now. A board member reads something about AI in the AFR or hears a presentation at a sector conference, and suddenly there's an agenda item: "What is our position on artificial intelligence?" For the finance team sitting in the room, this moment can go one of two ways. Either you're prepared — with a clear view of what AI is already being used in the organisation, what the risks are, and what governance gaps need addressing — or you're scrambling to answer a question you haven't fully thought through yet. I've been in both s...
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Claude vs Gemini for Australian Finance: An Honest Comparison After 12 Months of Using Both

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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 ...
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