The PF TECH Publication
Mission Multiplied
Thoughts on technology, operations, and AI for purpose-driven work — written from inside it.
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Foundations First
The principle · Building Blocks · 01
AI in your non-profit is organisational design, in a vocabulary the sector already speaks — and the building blocks are smaller than the framing suggests.
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What I've Built and What I've Broken
The practice · Building Blocks · 02
Close to a year exploring, six months serious. Sixteen agents and counting, one hundred dollars a month, three cents per image. The architecture, the sequencing, the layered controls — and the four things that broke before the controls were in place.

The Function the Sector Was Never Going to Hire
What internal audit could look like if it stopped looking like internal audit
The big four firms are naming the future of internal audit — continuous, agentic, real-time. They're selling it to the F500. The grassroots social purpose sector was never in that audience and was never going to be. Here's what the function looks like built into the workflow itself.

Your Accounting System Needs a Bouncer
Why the automation story needs a second chapter
There's a version of the AI-in-non-profits story being told right now that goes like this: AI will automate the tedious back-office work, free up your staff, and let you focus on your mission. That version is true — I believe it deeply and I'm building the tools to make it real. But there's a part of the story that isn't being told, and the gap between those two versions is where a lot of organisations are going to get hurt.

Resilience is a Verb: What the CPA Ontario Not-for-Profit Conference Revealed
Field Note · CPA Ontario NFP Conference 2025
In November 2025 I hosted the CPA Ontario Not-for-Profit Conference. The theme was Resilient Futures. Seven speakers, eight hours, topics ranging from AI adoption to board governance to front-line service delivery. What I took away was more urgent than the theme: the sector's biggest obstacle to building resilience is not funding or technical skills. It is the calculus that makes staying stuck feel safer than taking the next step.

Building a Better Engine: The PF TECH Origin Story
Origin Story · PF TECH
PF TECH started in a filing cabinet — in 2013, watching a colleague print every email he received and file the paper copies in rows of cabinets along the wall. Nearly two decades later, that pattern is still the sector's central problem. Here's what I built because of it.

TERN: Building the Non-Profit Back-Office Infrastructure the Sector Never Had
The AI-Ready Non-Profit Back Office · Part 01
Twenty years of working inside non-profits left me watching extraordinarily capable organisations spend their best operational energy fighting infrastructure that was never designed for them. TERN is our answer to that — a non-profit back-office integration framework built from lived experience. Here's what we're building, why it doesn't exist yet, and how you can help shape it.

The Maker's Revolution: From Concept to Custom Tool Without the Bloat
The AI-Ready Non-Profit Back Office · Part 03
For years, a custom software problem had two answers: force-fit an expensive tool or absorb the manual workaround. Both were genuine options because there weren't better ones. Three things I've built recently — a bespoke CMS, an internal operations tool that replaced a $500/month subscription, and a two-hour build for my father — put some numbers on how much that has changed.

AI, Data Sovereignty, and the Modern Non-Profit Tech Stack
The AI-Ready Non-Profit Back Office · Part 02
The public debate about AI risk focuses on the dramatic — algorithmic bias, autonomous decision-making, systems going rogue. Those are worth discussing. But the risks that are actively costing Canadian non-profits their data, their service continuity, and their operational independence right now are far less dramatic and far more preventable. Here's how to think about data sovereignty in the AI era, and what we're doing about it.

From 5-Year Roadmap to Reality: How AI Changed the Whole Business
Field Note · Operating Economics
In 2021, building PF TECH required an estimated $300,000+ in startup capital for product development alone — before marketing, sales, or operations. By 2025, that estimate was essentially obsolete. But the development story is actually the least interesting part of what AI has done to this business. The real shift is in the operating model.
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