BreathingRoom
Automate with AI

Automating Finance and Bookkeeping Work with AI

Five finance jobs that repeat on a schedule, and what an agent can actually take off each one.

What ties these together

Every one of these runs against a system of record that already holds the right answer — a bank feed, a card statement, a ledger, a contract. The work is not deciding what is true; it is moving what is already true from one place to another, correctly, at volume. That is the shape of work agents handle best, and it is also why the escalation rules below matter more than the automation itself: in finance, a confident wrong entry is more expensive than no entry.

Each one below is written the same way, because these are the three things that decide whether an agent is worth building: what starts it, what it does, and the case where it has to stop and ask a person.

bank reconciliation

Reconciliation is rule-following at volume, which is exactly what a person is worst at.

What starts it: The bank feed syncs, usually overnight.

What the agent does: watches for that trigger inside QuickBooks Online, reads whatever arrived in whatever format it arrived in, and writes the result into Xero, Google Sheets, Slack against rules you approved.

What it escalates instead of deciding: A transaction with no match, a duplicate that is not obviously a duplicate, or anything above the threshold you set. Forcing a match is worse than leaving it open.

expense coding

Coding is rules plus history. Both are things software holds better than a person.

What starts it: A card transaction posts, or a receipt is uploaded.

What the agent does: watches for that trigger inside Ramp, reads whatever arrived in whatever format it arrived in, and writes the result into QuickBooks Online, Slack, Gmail against rules you approved.

What it escalates instead of deciding: An expense with no receipt, one above the policy limit, or a merchant with no coding history. Guessing a GL code creates work at close rather than saving it.

collections follow-up

Collections works when it is relentless and consistent, which is not how people do it.

What starts it: An invoice passes its due date.

What the agent does: watches for that trigger inside Stripe, reads whatever arrived in whatever format it arrived in, and writes the result into QuickBooks Online, Gmail, Slack against rules you approved.

What it escalates instead of deciding: A customer who disputes the amount, asks for a payment plan, or has replied to a chase. Once a human replies, the sequence stops and a person picks it up.

commission calculation

Commission runs are high-stakes, rules-heavy and done in a spreadsheet that one person understands.

What starts it: The pay period closes, or a deal moves to Closed Won in the CRM.

What the agent does: watches for that trigger inside Google Sheets, reads whatever arrived in whatever format it arrived in, and writes the result into HubSpot, Gusto, Slack against rules you approved.

What it escalates instead of deciding: A deal with a split, a clawback, or a rate that was negotiated outside the plan. Those go to a person every time — commission disputes cost more than the automation saves.

document data extraction

Re-typing a PDF into a form is the single most automatable task in most businesses.

What starts it: A document lands in the watched folder or inbox.

What the agent does: watches for that trigger inside Google Drive, reads whatever arrived in whatever format it arrived in, and writes the result into Airtable, Google Sheets, Slack against rules you approved.

What it escalates instead of deciding: A layout the agent has not seen, a field it read with low confidence, or a total that does not reconcile against its line items. That last check catches most extraction errors on its own.

What has to be true before any of this is built

  • Someone can state the rules out loud. If two people handle the same case differently and both believe they are right, that has to be settled first. Teams routinely find this is the most valuable part of the project, and are irritated that it came from an automation vendor.
  • The escalations have somewhere to go. A named person, a queue, a channel — not an inbox nobody owns. An agent with no route for “I am not sure” makes a confident wrong decision instead, quietly, and by the time anyone notices the trust is gone.
  • You know roughly what it costs today. Hours per week, written down before anything is built. Without a baseline nobody can say afterwards whether it worked — and the one randomised trial in this area found people believed they were 20% faster while actually running 19% slower.