AI bookkeeping

AI bookkeeping isn't 'replace your accountant'. It's letting an AI agent handle the 80% of bookkeeping that's pure rule-following — categorisation, reconciliation, invoice matching, expense classification — so your accountant focuses on the 20% that actually needs judgement (year-end close, advisory, tax planning, audit defence).

The manual reality

A small business generates 200-500 transactions per month between bank movements, supplier invoices, customer invoices, expense claims, and payroll lines. Manually categorising each one and matching it to a counterpart in your accounting tool is 8-15 hours of work per month. Outsourcing to a bookkeeping firm runs €500-2,000 per month for the same coverage. Neither scales linearly as the business grows.

The WorkAist approach

The WorkAist AI Bookkeeper agent connects to your bank (via Plaid, Tink, or a country-specific PSD2 provider), your accounting tool (Xero, QuickBooks, sevDesk, Pennylane), and the inbox where supplier invoices arrive (email or a shared folder). The agent classifies each transaction using your chart of accounts, proposes a match with an existing invoice or expense, and posts the bookkeeping entry. Confidence scores expose the unsure cases for a 5-minute human review per week instead of a 5-hour categorisation marathon.

Implementation in 5 steps

  1. 1Connect your bank account via Plaid / Tink / Qonto for PSD2-compliant read access.
  2. 2Connect your accounting tool (Xero, QuickBooks, sevDesk, Pennylane, FreeAgent).
  3. 3Forward supplier invoices to a dedicated mailbox the agent watches (or share a folder for paper-scanned PDFs).
  4. 4Train the agent on your chart of accounts: spend 30 minutes reviewing its first batch of categorisations and correcting the errors — the agent learns from your edits.
  5. 5Switch on auto-posting once accuracy passes 95% (typically 4-6 weeks). The weekly review tightens to the low-confidence outliers.

Connectors & agents involved

FAQ

Does this replace my accountant?

No. The agent handles the routine bookkeeping that fills 80% of a junior accountant's day. Year-end close, tax planning, audit defence, advisory work, and structural decisions remain human work. The point is to free your accountant for the judgement-heavy 20%.

What about VAT and tax filing?

The agent generates the VAT return draft based on the bookings it produces — but the filing itself is reviewed and submitted by your accountant. WorkAist also ships country-specific compliance use-cases (KSeF for Poland, Chorus Pro for France, E-Rechnung for Germany, SDI for Italy) that handle the filing-side automation where the regulator allows it.

Is my data safe?

WorkAist is self-hosted under AGPL-3.0 — your bank data, invoice contents, and LLM prompts never leave your infrastructure. The PSD2 bank connection uses your institution's certified read-only credentials. Compare this to cloud bookkeeping tools that store your transaction history in their data centres.

What's the accuracy in practice?

After 4-6 weeks of training (~60 corrections), most teams reach 95-98% auto-posting accuracy on the recurring transactions that make up the bulk of the volume. Novel transactions (first invoice from a new supplier, unusual one-off) drop to ~80% — these are flagged for human review.

Automate AI bookkeeping this month

Open-source, self-hosted, AGPL-3.0. Your data stays in your infrastructure.

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