Trustworthy isn't a model claim. It's an architecture.
Any AI can code a transaction. The question is what happens when it isn't sure. Ruby's answer is structural: certainty posts, uncertainty routes to a CPA, and every action is written to the audit log. Accuracy you can stake a license on comes from the loop, not the model.
Per client, per month
Down from 3.0 hours of manual coding and review, measured in production at the CPA firm Ruby was built inside, including a 50% buffer for high-volume clients.
Auditable
Every code, match, route, and approval is logged to the ledger transaction ID. Your audit trail is complete by construction, not reconstructed after the fact.
Clients per accountant
Against a manual benchmark near 30:1. Ruby is built to multiply the capacity of the professionals you already have, not to replace them.