Technical articles on AI-powered financial automation, written for accounting professionals.
Accounting needs repeatable, auditable results — not a model making its best guess on every transaction. Here is why we run the bulk of the work as SQL, and reserve the LLM for genuinely ambiguous cases.
The market for AI-powered financial automation is full of vendor claims that are hard to verify. Here is what to actually check before you trust one with your books.
A practical walkthrough of how deterministic automation handles the tedious, error-prone process of trial balance formatting, classification, and validation.
Not every audit task needs a large language model. Understanding when to rely on rules-based validation and when to bring in AI reasoning is key to building reliable accounting automation.
