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55 points bmadduma | 1 comments | | HN request time: 1.273s | source

Working on automating small business finance (bookkeeping, reconciliation, basic reporting).

One thing I keep noticing: compared to programming, accounting often looks like the more automatable problem:

It’s rule-based Double entry, charts of accounts, tax rules, materiality thresholds. For most day-to-day transactions you’re not inventing new logic, you’re applying existing rules.

It’s verifiable The books either balance or they don’t. Ledgers either reconcile or they don’t. There’s almost always a “ground truth” to compare against (bank feeds, statements, prior periods).

It’s boring and repetitive Same vendors, same categories, same patterns every month. Humans hate this work. Software loves it.

With accounting, at least at the small-business level, most of the work feels like:

normalize data from banks / cards / invoices

apply deterministic or configurable rules

surface exceptions for human review

run consistency checks and reports

The truly hard parts (tax strategy, edge cases, messy history, talking to authorities) are a smaller fraction of the total hours but require humans. The grind is in the repetitive, rule-based stuff.

1. TheKnack ◴[] No.46245039[source]
I've been doing this for 20+ years, not with AI but just with code and taking time to understand the important parts of the processes. I still see many companies and especially educational institutions spending way too much manpower on payroll and accounts payable in particular. This is often because of unnecessary bespoke processes that people in the organization believe are necessary and are afraid to change.