I build AI workflow skills for accounting practices.
My work sits across two specialized areas of Canadian practice: IT contractors and e-commerce sellers. The workflows I build come from real client files and real recurring work inside a firm. They focus on where AI can handle the repeatable parts reliably, and where a CPA still needs to step in to catch what the model misses.
Most AI tools in accounting are built by people who understand LLMs. These are built by someone who also does the month-end.
Practice-tested AI workflow skills for CPAs and bookkeepers.
This repository is practitioner-facing and collaborative. It is built around how accounting work actually moves through a practice: collecting documents, organizing data, reconciling records, reviewing outputs, preparing follow-up, and supporting tax work.
Tax preparation workflow skills for Canadian IT contractors.
This repository is client-facing. It helps Canadian IT contractors gather records, organize income and expenses, identify missing items, and arrive at CPA review with a cleaner file. It covers both sole proprietor and incorporated contractor workflows.
Accounting workflow skills for Canadian e-commerce sellers.
This repository is client-facing. It focuses on marketplace reconciliation, inventory and cost of goods sold support, SKU profitability, GST/HST handling, multi-platform reporting, and cleaner bookkeeping and CPA handoff.
I am interested in a simple question: where does AI actually help inside an accounting practice, and where does it still need a CPA to review, correct, or decide?
That is what these repositories are for.
I write about AI workflow building in accounting, what works in practice, and where the handoff back to the CPA still matters.