Month-end close is where bookkeeping time goes to die. In native Odoo, account.bank.statement.line reconciliation relies on manual matching plus static reconciliation models, and the AI-assisted account prediction in Enterprise only learns coarse patterns from account.move.line history — it still leaves accountants hand-picking accounts, chasing unmatched statement lines, and eyeballing for duplicate vendor bills. As transaction volume grows across multiple journals and currencies, that manual layer becomes the bottleneck between "data entered" and "books closed."

AI Accounting Auto-Categorization is a module ECOSIRE builds for your specific chart of accounts and journals. At its core it adds a prediction service that, for each draft account.move.line or imported account.bank.statement.line, proposes an account, analytic distribution and tax code with a confidence score. Predictions are produced by a model trained on your own posted history (partner, label, amount sign, journal, memo tokens) and exposed on the line via compute fields with @api.depends, so a reviewer sees the suggestion inline and either accepts it with one click or corrects it. Every correction is written back as a training signal, so accuracy on your real vendors and descriptions climbs over the first weeks rather than staying frozen.

Technically the module ships as a proper addon: a __manifest__.py declaring dependencies on account (and account_accountant where Enterprise features are targeted), new models/ extending account.move.line, account.bank.statement.line and a res.config.settings panel, an inference service that can call an external LLM/ML endpoint or a locally hosted model over JSON-RPC, and batched ir.cron jobs plus base.automation automated actions to score incoming statements as they land. Bank reconciliation matching goes beyond native reconciliation models with fuzzy amount/date/reference scoring and a suggested counterpart account, surfaced in a custom OWL widget inside the reconciliation view. Anomaly and duplicate detection runs over recent account.move records to flag near-duplicate vendor bills and out-of-pattern amounts, rendered in a QWeb review report and a dashboard action. Access is locked down with ir.model.access.csv and record rules so predictions and training data respect company and accounting-team boundaries, and all suggestion/override activity is logged for audit.

Because this is build-to-order, nothing ships as a blind download. We start with a short scoping call, map your chart of accounts, journals, tax positions and close workflow, then build and tune the module on a staging copy of your database. You get the installable source for your exact Odoo version (17.0, 18.0 or 19.0), UAT on staging, a training session for your accounting team, and a defined post-go-live support window. Typical delivery is one working week from confirmed scope.