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AI Bookkeeping & Accounting Automation Blog

Notes from building an AI bookkeeper that shows its work — why every value carries its own confidence score, why each one links back to the document it came from, and why a human still approves every entry.

The Review Queue Is the Product: Human-in-the-Loop AI Bookkeeping

Why AI bookkeeping should prepare work, not post it. How a human-in-the-loop review queue changes the reviewer's day and makes every decision auditable.

Why an Accounting Audit Trail Must Be Append-Only

A log you can edit is not an audit trail. Why accounting corrections should be new entries that supersede old ones, with both kept visible to auditors.

Provenance: The Click That Replaces the Hunt

An extracted value you can't trace is one you trust blindly or re-check by hand. How linking each value to its source region makes verification a glance.

Why Every Field Gets Its Own Confidence Score

A document-level AI confidence score tells you almost nothing. Scoring each field separately turns review from checking everything into checking one thing.