Founder of Fuel Accountants and The AI Accountant. With over 15 years in practice management and technology consulting for accounting firms, Peter is passionate about helping accountants embrace AI to transform their businesses.
48 articles
Your review queue doesn't distinguish between files that need your judgment and files that are clean. So you review everything — and become the bottleneck. The fix isn't better delegation. It's building systems that tell you where your attention actually matters, so you can stop being the dragnet and start being the editor.
A Harvard study found individuals with AI were 3x more likely to produce top-10% ideas — not because of tool skills, but because AI gave them the confidence to act on their instincts. Your team has the same instincts. The question is whether your firm builds the conditions where confidence follows — or watches your best people build it somewhere else.
Anthropic surveyed 80,508 AI users. The number one fear isn't job loss — it's unreliability. AI fails the same way your staff does. The difference: corrections become permanent rules.
Intuit and Anthropic announced a multi-year partnership putting QuickBooks inside Claude. The MCP server is already public on GitHub — a developer expanded it to 143 tools. But the depth question that's limited every platform integration still applies, and the Enterprise Suite demo isn't what your QBO clients will get.
Intuit just connected QuickBooks directly to Claude — your clients can now build AI agents with their own financial data, no accountant required. Plus every AI company is converging into every other AI company, Jeff Bezos is raising $100 billion to rebuild manufacturing with AI, and 81,000 Claude users just confirmed what we published on Wednesday.
98% of accounting firms use AI. Only 21% have a policy governing it. Your staff is already putting client data into tools you haven't vetted — and the line between safe and dangerous isn't where most practice owners think it is. Here's what's actually risky, what's safe right now, and the one thing you should implement this week.
Before every coaching call, I check with my bookkeeping team to get current on the client's status. That's not preparation — it's a tax. Every CAS practice pays it dozens of times a day: the invisible cost of moving context between people so someone can do the actual work.
Sequoia Capital says tax advisory is 80-90% intelligence work — rule-following, not judgment. Nate Jones argues most of what we call judgment is rules we've internalized so deeply we forgot they were rules. If they're right, the moat accountants keep defending on LinkedIn is real — but much narrower than the profession assumes.
AI matches experienced professionals 70-83% of the time. The profession's biggest complaint — that AI gets things wrong — is actually a description of where your professional value lives. The 17-30% where you catch the error, push back, and explain why? That's judgment. And it's the one skill nobody in the profession is developing deliberately.
The research was valuable. What happened next was more valuable — a 10-minute reflective conversation with the AI that turned a one-off project into a reusable methodology anyone in the firm can follow. That's context engineering. And it's how you stop losing what you learn.
A cross-border tax research project revealed a material legal error — not because AI got it wrong, but because the back-and-forth dialogue forced both sides to test every assumption. The best use of AI for complex professional work isn't asking questions. It's arguing until the answer survives.
Canopy is embedding AI bookkeeping directly into practice management — real-time GL visibility, issue detection, and month-end close automation inside the tool you already use. Plus OpenAI's $110 billion bet on agentic AI, Anthropic removing the last barrier to switching, and why 30,000 accounting firms watched one AI demo in three days.