The Accountant
In shortAccountants can use AI to build their own tools, such as audit checklists and anomaly checks, without being programmers. The step that matters is moving from copy-pasting prompts between chats to a structured project with a clear MVP.
The same working day, before and after AI joined the team. Hours are typical, not exact.
Ledgers to check, line by line.
The tool flags anomalies. You review the flags.
A prompt written in one AI, pasted into another.
One project holds the logic, versions and tests.
A client asks a routine question for the third time.
A drafted answer, checked by you.
No time for new clients.
Routine shrinks. New-client hours grow.
Your software lives on one PC.
An MVP you can show and improve.
You want to work less on routine and more on new clients. You've already built a working desktop tool for statutory audits by writing prompts in one AI and pasting them into another.
It works, but it doesn't scale. The next step is structure: one place for the logic, a defined MVP, and AI that points at anomalies while you sign the audit.
A 50-minute diagnostic on your own business. We map where AI fits and what to build first.
Yes, to a working tool. Structure matters more than code: a defined goal, an MVP and a project where the logic lives.
No. It can flag anomalies and prepare working papers. The accountant reviews and signs.
The smallest version that does one check end to end on real files, such as matching ledgers to bank statements.
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