Reading messy documents
The first real job is turning chaos into data: a crumpled Sysco invoice, a photographed lease, a PDF statement. Modern models extract the line items, vendors and dates accurately enough to post.
This alone removes hours of manual entry every week.
Coding and classifying
Once a document is read, it has to be coded to the right account and location. AI classifies transactions and journal entries based on your chart of accounts and history, then hands the edge cases to a human.
Catching anomalies
This is where AI earns its keep. It compares every invoice and transaction against your patterns and flags the duplicate ACH, the chicken that jumped 12%, the labor week that crossed target, before they cost you.
Forecasting and long context
Some models are better at reading months of statements at once to forecast cash or spot a seasonal trend a single statement would hide. The best systems route that task to the model that does it best.
Where humans stay in the loop
AI should never quietly post your books and disappear. Every coded line and flagged decision is reviewed by an accountant, and you approve the calls that matter. The AI does the volume; people own the judgment.
The honest summary
AI does not replace your finance team. It removes the grind so a smaller team, plus the software, can do what used to take a department, with a clear audit trail behind every decision.
How Kit helps: Kit routes every task to the AI lab that does it best, Anthropic, OpenAI or Google, keeps your data private, and has a human accountant review the work before it reaches you.