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Weekly AI Roundup for Accountants: AI is getting good, getting expensive, and demanding leadership

Weekly AI Roundup for Accountants: AI is getting good, getting expensive, and demanding leadership

OpenAI shipped a working tax agent at 97% draft accuracy — but it took a custom-built product to get there, not a ChatGPT login. Kick opened its ledger to whichever AI you bring, and made it work across all your clients at once. Microsoft canceled Claude Code over runaway costs, a CFO ate a half-billion-dollar surprise bill, and Opus 4.8 got noticeably more honest. AI implementation is hard, can get expensive, and produces powerful results when done well — the firms thinking 12 to 18 months ahead are the ones who'll come out on top.

Peter McCarroll
Peter McCarroll
The AI operating system under the advisory firm you promised

The AI operating system under the advisory firm you promised

Six layers — firm identity, tech stack map, client registry, workflow templates, agent slots, monitoring. Four of them have real value with zero AI agents running. Most CAS firms don't have any of them in deliberate form, which is why their AI investments keep producing chatbots wearing the firm's logo instead of real changes to how the practice operates.

Peter McCarroll
Peter McCarroll
Quality control in AI bookkeeping: what's the human for?

Quality control in AI bookkeeping: what's the human for?

Ian Crosby, the founder behind Bench, just launched an AI service that does a small business's books for $49 a month. The reflex is to argue AI isn't good enough yet — but that's the wrong question. As production automates and the data stops arriving pre-trusted, the durable human role moves to quality control: catching what the AI gets wrong, standing behind the numbers, and turning that into advice.

Peter McCarroll
Peter McCarroll